Instructions to use furrutiav/neobert_mixtral_nllfg_rubric_sst2_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_sst2_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_sst2_none_item", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("furrutiav/neobert_mixtral_nllfg_rubric_sst2_none_item", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2fa914df84ec51fbeac97aa3666bb6bfbd5757304f71b407bb9d90f7eb208e8e
- Size of remote file:
- 887 MB
- SHA256:
- 94a3ba774c63eb22fca796e592ef21200a56dc9b78b054e95059a84f2cd03491
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