Instructions to use harish/TEST with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harish/TEST with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("harish/TEST") model = AutoModelForSeq2SeqLM.from_pretrained("harish/TEST", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from harish/TEST: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/harish/TEST/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://harish/TEST/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/harish/TEST/resolve/main/pytorch_model.bin
892 MB
- Xet hash:
- 50144e93becfc2d93fce217d15dbcedcc0c55201f01c0160bd8930ef617b3def
- Size of remote file:
- 892 MB
- SHA256:
- 62a316a69fb2d5d4d4e4984a33c77ef7ad040c75fe5d65c64457c96af4c01fd7
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