Instructions to use hyyoka/t5-base-finetuned-mnli-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hyyoka/t5-base-finetuned-mnli-1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("hyyoka/t5-base-finetuned-mnli-1") model = AutoModelForMultimodalLM.from_pretrained("hyyoka/t5-base-finetuned-mnli-1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e0b12777d0f7ffebc2ad6378e00908df84aebe92f89705ddd517f8601ad0f317
- Size of remote file:
- 4.66 kB
- SHA256:
- 92b1004b5a557d092414262dbe3bb5139f3d9908590c844b66ac0e1d36ffd4ab
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