Instructions to use harish/IMPLI-T5-e10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harish/IMPLI-T5-e10 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("harish/IMPLI-T5-e10") model = AutoModelForSeq2SeqLM.from_pretrained("harish/IMPLI-T5-e10", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from harish/IMPLI-T5-e10: direct link, hf CLI and curl.
- Browser
- Download file 3.57 kB
-
https://huggingface.co/harish/IMPLI-T5-e10/resolve/main/training_args.bin
- Command line
-
hf download hf://harish/IMPLI-T5-e10/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/harish/IMPLI-T5-e10/resolve/main/training_args.bin
3.57 kB
- Xet hash:
- c79173ee2c6feb17e5fef5fac9c8da378cd8ae464b76b8054c63a835a390fdf4
- Size of remote file:
- 3.57 kB
- SHA256:
- 059a30c261f3bd54fbfe2362d7894c790b619685a34fdc10f23e0cddffd8fcd8
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