Transformers
PyTorch
t5
text2text-generation
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Instructions to use foscraft/ca-t5-67 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use foscraft/ca-t5-67 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("foscraft/ca-t5-67") model = AutoModelForSeq2SeqLM.from_pretrained("foscraft/ca-t5-67") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 854f946c35258c2f4283254a315256b44bc1c47808570111b5eb9afab67c9582
- Size of remote file:
- 242 MB
- SHA256:
- 46ff9b0832f48f8a343f8527509400bf2475bbae810b3f0dc652b132796624c1
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