Instructions to use context-sbf/test_explain_model_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use context-sbf/test_explain_model_small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("context-sbf/test_explain_model_small") model = AutoModelForSeq2SeqLM.from_pretrained("context-sbf/test_explain_model_small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 84476ca4aa11d1e5dcec5df4912eedd3af24cc456169f9131da092a25a14f0f6
- Size of remote file:
- 308 MB
- SHA256:
- ee1ddc5636233ab0a479a029004b991b81c3e15ccca9510b347ddbf7fc094471
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