Instructions to use furrutiav/neobert_mixtral_nllfg_rubric_rte_tf_idf_perplexity 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_tf_idf_perplexity 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_tf_idf_perplexity", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("furrutiav/neobert_mixtral_nllfg_rubric_rte_tf_idf_perplexity", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 485045461083a6db90e841ef241c8b104321dcee527366dac27e452956d23257
- Size of remote file:
- 887 MB
- SHA256:
- 93a698cbfe83b1b925bfd1aab57a3fc4349b93cc61c147e8cfca6fec3c103547
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