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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("imvladikon/het5-base") model = AutoModelForSeq2SeqLM.from_pretrained("imvladikon/het5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (910dd29b0664fa341cc25122957b6f63ac5481ad) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>3fe6696
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Update README.md
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Update README.md
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Create README.md
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Upload T5ForConditionalGeneration
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Upload tokenizer
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initial commit
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