Instructions to use Sangam101/hpc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sangam101/hpc with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Sangam101/hpc") model = AutoModelForSeq2SeqLM.from_pretrained("Sangam101/hpc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Sangam101/hpc: direct link, hf CLI and curl.
- Browser
- Download file 3.64 kB
-
https://huggingface.co/Sangam101/hpc/resolve/main/training_args.bin
- Command line
-
hf download hf://Sangam101/hpc/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Sangam101/hpc/resolve/main/training_args.bin
3.64 kB
- Xet hash:
- 7c79b73fb4d05a73a93713264d4c7e7d4c14ed1279d441a3a69d2c1cff31b8bc
- Size of remote file:
- 3.64 kB
- SHA256:
- 2580b07c9405b5d56e0aeabf5f8f0fe184ee2449d1bab618f2118733b4c5fe2e
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