Instructions to use Shabdobhedi/aragpt2_base_small_finetune_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shabdobhedi/aragpt2_base_small_finetune_1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Shabdobhedi/aragpt2_base_small_finetune_1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download added_tokens.json from Shabdobhedi/aragpt2_base_small_finetune_1: direct link, hf CLI and curl.
- Browser
- Download file 71 Bytes
-
https://huggingface.co/Shabdobhedi/aragpt2_base_small_finetune_1/resolve/main/added_tokens.json
- Command line
-
hf download hf://Shabdobhedi/aragpt2_base_small_finetune_1/added_tokens.json
-
curl -L -o added_tokens.json https://huggingface.co/Shabdobhedi/aragpt2_base_small_finetune_1/resolve/main/added_tokens.json
71 Bytes
| { | |
| "<|im_end|>": 64002, | |
| "<|im_start|>": 64001, | |
| "<|pad|>": 64000 | |
| } | |