Instructions to use castorini/t5-base-canard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use castorini/t5-base-canard with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("castorini/t5-base-canard") model = AutoModelForSeq2SeqLM.from_pretrained("castorini/t5-base-canard") - Notebooks
- Google Colab
- Kaggle
Commit ·
f0f21fc
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Parent(s): 85d0438
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:7c95a30cbfe1e2834a1fcdf0bfb19df3d48963c398287839515407fdb32b365d
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size 891625348
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