Instructions to use furrutiav/neobert_mixtral_nllfg_rubric_mrpc_tf_idf_centroid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use furrutiav/neobert_mixtral_nllfg_rubric_mrpc_tf_idf_centroid with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="furrutiav/neobert_mixtral_nllfg_rubric_mrpc_tf_idf_centroid", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("furrutiav/neobert_mixtral_nllfg_rubric_mrpc_tf_idf_centroid", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 84e4992be66893606968154283939e253c7dd44b5a17bf4158dd1759581db492
- Size of remote file:
- 887 MB
- SHA256:
- 2c193f8b8affc59cc734947cb7d7f31ff501e3cf9f7cb42adafae0259e0d8e13
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