Instructions to use CATIE-AQ/FAT5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CATIE-AQ/FAT5-small with Transformers:
# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("CATIE-AQ/FAT5-small", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2bf8ce92a1b596d8160ca4164ee89ac9eca10abbb816aa3b3c0b1620406ebed2
- Size of remote file:
- 587 MB
- SHA256:
- 39cac982d9842a1d653966fb42b2fa3df4077334030c76cd8fa165b5aea244ea
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