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 training_args.bin from harish/TEST: direct link, hf CLI and curl.
- Browser
- Download file 3.63 kB
-
https://huggingface.co/harish/TEST/resolve/main/training_args.bin
- Command line
-
hf download hf://harish/TEST/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/harish/TEST/resolve/main/training_args.bin
3.63 kB
- Xet hash:
- 7d747285c6c27ddd5c704bef10a55c784fab93a2baa3f869d9ae2f2f5960dc52
- Size of remote file:
- 3.63 kB
- SHA256:
- 7dc6b3ec14502deef5afb853570ecf0b2929ba528c47decec3e964cb3e387cc5
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