Instructions to use imvladikon/het5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use imvladikon/het5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("imvladikon/het5-base") model = AutoModelForSeq2SeqLM.from_pretrained("imvladikon/het5-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a47e8928f56b13116ba83c4e18db8a4328c36826c77179cc9fc636ad93671cad
- Size of remote file:
- 746 kB
- SHA256:
- 2809275e455147c6f4efcaf422d8b6b028278081c7a02356ea108d49bd2366aa
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