autotrain text-generation conversational en license:openrail region:us
---
tags:
- autotrain
- text-generation
widget:
- text: 'I love AutoTrain because '
license: openrail
language:
- en
metrics:
- accuracy
pipeline_tag: text-generation
---

# Model Trained Using AutoTrain

```
from transformers import AutoModelForCausalLM, AutoTokenizer

model_path = "Andyrasika/mistral_autotrain_llm"
tokenizer = AutoTokenizer.from_pretrained(model_path)
model = AutoModelForCausalLM.from_pretrained(model_path)
```
```
input_text = "Health benefits of regular exercise"
input_ids = tokenizer.encode(input_text, return_tensors="pt")
output = model.generate(input_ids)
predicted_text = tokenizer.decode(output[0], skip_special_tokens=False)
print(predicted_text)

```
Output:
```
Health benefits of regular exercise include improved cardiovascular health, increased strength and flexibility, improved mental
```

Resources:
- https://github.com/huggingface/autotrain-advanced/issues/339
- https://www.kdnuggets.com/how-to-use-hugging-face-autotrain-to-finetune-llms
- https://github.com/hiyouga/LLaMA-Factory#llama-factory-training-and-evaluating-large-language-models-with-minimal-effort 