Instructions to use furrutiav/neobert_mixtral_nllfg_rubric_qnli_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_qnli_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_qnli_none_item", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("furrutiav/neobert_mixtral_nllfg_rubric_qnli_none_item", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2d756f0f8fadc09aefcdf017bc56d56704f3edc297026d87625f81f4fda193e9
- Size of remote file:
- 887 MB
- SHA256:
- eaabaa5f1f659d54d845e18a9a6a068f912eb84d95946da58b412b42d6bde9dc
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