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:
- db93acdda2d721be598dd77fc11ffc52e37fa9a46f428eaa8ea4483f10b5c2d4
- Size of remote file:
- 977 MB
- SHA256:
- 830f85adf11528e57304430c5af4d4d9b9ac616146b5573be9d04a9cf330e65d
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