---
library_name: nanoGPT
tags: []
---

# Model Card for Model ID

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## Model Details

### Model Description

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This is the model card of a model trained by Karpathy's [nanoGPT](https://github.com/karpathy/nanoGPT). The vocabulary size is 20_000 and the context window is 1024.<br>
The model is trined on tripathysagar/odia-news, news paper article extracted from odia daily [Dharitri](https://www.dharitri.com). 

## Uses

```python
>>> from huggingface_hub import snapshot_download
>>> snapshot_download(repo_id="tripathysagar/odia-gpt", local_dir='.')

>>> from model import GPT
>>> import os, torch

>>> from tokenizers import Tokenizer
>>> tokenizer = Tokenizer.from_file('tokenizer.json')
>>> nn, _ = GPT.from_file(os.path.join('model.pt'))
>>> nn = nn.to('cuda')

>>> s = 'କ୍ରେଡିଟ କାର୍ଡ ନେବା ସମୟରେ ଏହାର ସର୍ତ୍ତ ଏବଂ ନିୟମଗୁଡ଼ିକୁ ଧ୍ୟାନର ସହିତ ପଢ଼ିବା ଉଚିତ ।'
>>> enc = torch.tensor(tokenizer.encode(s).ids).unsqueeze(0).to('cuda')

>>> op = nn.generate(enc, 50, top_k=50)

>>> print(tokenizer.decode(op[0].to('cpu').tolist()))
```
### Direct Use

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## Training Details

### Training Data

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### Training Procedure

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#### Preprocessing [optional]

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#### Training Hyperparameters

- **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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## Evaluation

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### Testing Data, Factors & Metrics

#### Testing Data

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#### Factors

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#### Metrics

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### Results

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#### Summary