Update README.md

README.md

@@ -3,197 +3,70 @@ library_name: transformers
 tags: []
 ---
 
-# Model Card for Model ID
+# yujiepan/clip-vit-tiny-random-patch14-336
+
+This model is intended for debugging.
+
+## Usage
+```python
+from transformers import CLIPProcessor, CLIPModel, CLIPConfig
+from PIL import Image
+import requests
+import torch
+
+model_id = "yujiepan/clip-vit-tiny-random-patch14-336"
+model = CLIPModel.from_pretrained(model_id).cuda()
+processor = CLIPProcessor.from_pretrained(model_id)
+
+url = "https://assets-c4akfrf5b4d3f4b7.z01.azurefd.net/assets/2024/04/BMDataViz_661fb89f3845e.png"
+image = Image.open(requests.get(url, stream=True).raw)
+text = "A description of the image"
+inputs = processor(text=[text], images=image, return_tensors="pt", padding=True).to("cuda")
+with torch.no_grad():
+    outputs = model(**inputs)
+logits_per_image = outputs.logits_per_image  # shape: [batch_size, num_texts]
+logits_per_text = outputs.logits_per_text  # shape: [batch_size, num_images]
+probs = logits_per_image.softmax(dim=1)  # shape: [batch_size, num_texts]
+print(probs)
+```
+
+## Codes
+```python
+from transformers import CLIPProcessor, CLIPModel, CLIPConfig
+from PIL import Image
+import requests
+import torch
+
+model_name = "openai/clip-vit-large-patch14-336"
+config = CLIPConfig.from_pretrained(model_name)
+config = config.to_dict()
+config["projection_dim"] = 8
+config["text_config"]["hidden_size"] = 8
+config["text_config"]["projection_dim"] = 8
+config["text_config"]["intermediate_size"] = 16
+config["text_config"]["num_hidden_layers"] = 2
+config["text_config"]["num_attention_heads"] = 2
+config["vision_config"]["hidden_size"] = 8
+config["vision_config"]["projection_dim"] = 8
+config["vision_config"]["intermediate_size"] = 16
+config["vision_config"]["num_hidden_layers"] = 2
+config["vision_config"]["num_attention_heads"] = 2
+config = CLIPConfig.from_dict(config)
+model = CLIPModel(config).half().cuda()
+processor = CLIPProcessor.from_pretrained(model_name)
+
+url = "https://assets-c4akfrf5b4d3f4b7.z01.azurefd.net/assets/2024/04/BMDataViz_661fb89f3845e.png"
+image = Image.open(requests.get(url, stream=True).raw)
+text = "A description of the image"
+inputs = processor(text=[text], images=image, return_tensors="pt", padding=True).to("cuda")
+with torch.no_grad():
+    outputs = model(**inputs)
+logits_per_image = outputs.logits_per_image  # shape: [batch_size, num_texts]
+logits_per_text = outputs.logits_per_text  # shape: [batch_size, num_images]
+probs = logits_per_image.softmax(dim=1)  # shape: [batch_size, num_texts]
+print(probs)
+
+model.push_to_hub("yujiepan/clip-vit-tiny-random-patch14-336")
+processor.push_to_hub("yujiepan/clip-vit-tiny-random-patch14-336")
+```
 
-<!-- Provide a quick summary of what the model is/does. -->
-
-
-
-## Model Details
-
-### Model Description
-
-<!-- Provide a longer summary of what this model is. -->
-
-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
-
-- **Developed by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
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-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
-
-### Model Sources [optional]
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-<!-- Provide the basic links for the model. -->
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-- **Repository:** [More Information Needed]
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-- **Demo [optional]:** [More Information Needed]
-
-## Uses
-
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
-
-### Direct Use
-
-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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-[More Information Needed]
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-### Downstream Use [optional]
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-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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-### Out-of-Scope Use
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-## Bias, Risks, and Limitations
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-### Recommendations
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-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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-Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
-
-## How to Get Started with the Model
-
-Use the code below to get started with the model.
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-[More Information Needed]
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-## Training Details
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-### Training Data
-
-<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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-[More Information Needed]
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-### Training Procedure
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-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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-#### Preprocessing [optional]
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-[More Information Needed]
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-#### Training Hyperparameters
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-- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
-
-#### Speeds, Sizes, Times [optional]
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-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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-[More Information Needed]
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-## Evaluation
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-<!-- This section describes the evaluation protocols and provides the results. -->
-
-### Testing Data, Factors & Metrics
-
-#### Testing Data
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-<!-- This should link to a Dataset Card if possible. -->
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-[More Information Needed]
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-#### Factors
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-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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-#### Metrics
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-<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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-### Results
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-#### Summary
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-
-
-## Model Examination [optional]
-
-<!-- Relevant interpretability work for the model goes here -->
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-
-## Environmental Impact
-
-<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
-
-Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
-
-- **Hardware Type:** [More Information Needed]
-- **Hours used:** [More Information Needed]
-- **Cloud Provider:** [More Information Needed]
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-- **Carbon Emitted:** [More Information Needed]
-
-## Technical Specifications [optional]
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-### Model Architecture and Objective
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-### Compute Infrastructure
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-#### Hardware
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-#### Software
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-## Citation [optional]
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-**BibTeX:**
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-**APA:**
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-## Glossary [optional]
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-<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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-## More Information [optional]
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-## Model Card Authors [optional]
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