Instructions to use furrutiav/neobert_mixtral_nllfg_rubric_rte_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_rte_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_rte_none_item", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("furrutiav/neobert_mixtral_nllfg_rubric_rte_none_item", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 00b21c76b74dd9825fb5ec3ec555812374855f260ff0cf00ed34698951d378e6
- Size of remote file:
- 887 MB
- SHA256:
- 1707dc43a440f7d0f57be6e694345309dfa84a67893531ff136b876053b276cc
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