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
- Xet hash:
- a7cd788b152670491595a978a14bd02c7aa79ba04d623dc84885f45435e264b4
- Size of remote file:
- 892 MB
- SHA256:
- 7c95a30cbfe1e2834a1fcdf0bfb19df3d48963c398287839515407fdb32b365d
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