Instructions to use hetpandya/t5-base-tapaco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hetpandya/t5-base-tapaco with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hetpandya/t5-base-tapaco") model = AutoModelForSeq2SeqLM.from_pretrained("hetpandya/t5-base-tapaco", 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 (b0dd09d2b292c48c660c4b3a34b7140682dfeac0) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>c581ee5
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Update tokenizer_config.json
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initial commit
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