Instructions to use m3hrdadfi/AuxGPT2-alvis-pc-urb-gpt2-small-context-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use m3hrdadfi/AuxGPT2-alvis-pc-urb-gpt2-small-context-2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("m3hrdadfi/AuxGPT2-alvis-pc-urb-gpt2-small-context-2") model = AutoModel.from_pretrained("m3hrdadfi/AuxGPT2-alvis-pc-urb-gpt2-small-context-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from m3hrdadfi/AuxGPT2-alvis-pc-urb-gpt2-small-context-2: direct link, hf CLI and curl.
- Browser
- Download file 513 MB
-
https://huggingface.co/m3hrdadfi/AuxGPT2-alvis-pc-urb-gpt2-small-context-2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://m3hrdadfi/AuxGPT2-alvis-pc-urb-gpt2-small-context-2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/m3hrdadfi/AuxGPT2-alvis-pc-urb-gpt2-small-context-2/resolve/main/pytorch_model.bin
513 MB
- Xet hash:
- 56b38153e2793f29a96d391743d753937bdfd0679b886287a19ef71570c347e4
- Size of remote file:
- 513 MB
- SHA256:
- d73df60eee1f4e4c6d6d73c8348c5388442bc6cd87752a3c55fff11d6d963ec3
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