Model Card for Model ID

Model Details

Model Description

This is the model card of a model trained by Karpathy's nanoGPT. The vocabulary size is 20_000 and the context window is 1024.
The model is trined on tripathysagar/odia-news, news paper article extracted from odia daily Dharitri.

Uses

>>> 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

Training Details

Training Data

[More Information Needed]

Training Procedure

Preprocessing [optional]

[More Information Needed]

Training Hyperparameters

  • Training regime: [More Information Needed]

Speeds, Sizes, Times [optional]

[More Information Needed]

Evaluation

Testing Data, Factors & Metrics

Testing Data

[More Information Needed]

Factors

[More Information Needed]

Metrics

[More Information Needed]

Results

[More Information Needed]

Summary

Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API: The model has no pipeline_tag.