Instructions to use trigger166/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use trigger166/results with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("trigger166/results") model = AutoModelForSeq2SeqLM.from_pretrained("trigger166/results") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 53ee34a46007b037d216a32dd081b7bd821979b6abc25a3170fbdcb8f79b041f
- Size of remote file:
- 308 MB
- SHA256:
- dedd6b63f99d934b0e65cd17d6736c1b1f2a3e4d964d4ac1938e1494d8ab0dd0
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