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 pytorch_model.bin from harish/IMPLI-T5-e10: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/harish/IMPLI-T5-e10/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://harish/IMPLI-T5-e10/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/harish/IMPLI-T5-e10/resolve/main/pytorch_model.bin
892 MB
- Xet hash:
- 4e613c4ca8df89076148e7705d8b1dab97982912cd5fae296c32cb3e01cda2cd
- Size of remote file:
- 892 MB
- SHA256:
- 12c2edda9e1b88ffd5dc4c915d2a366db78b207dd43d68778be0f01c9c81be59
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