Instructions to use furrutiav/neobert_mixtral_nllfg_rubric_cola_none_item with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use furrutiav/neobert_mixtral_nllfg_rubric_cola_none_item with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="furrutiav/neobert_mixtral_nllfg_rubric_cola_none_item", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("furrutiav/neobert_mixtral_nllfg_rubric_cola_none_item", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c7b61088d0e242fb2c881318eb60a948727f6fb8b0c1aa46c8bfd15a853c9589
- Size of remote file:
- 887 MB
- SHA256:
- e12bc8ccdad4f5089b15ae207c7852b1cae3244018e0d1ad22f0b0368af565fe
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