Instructions to use furrutiav/neobert_mixtral_nllfg_vanilla_sst2_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_vanilla_sst2_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_vanilla_sst2_tf_idf_centroid", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("furrutiav/neobert_mixtral_nllfg_vanilla_sst2_tf_idf_centroid", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2b580fe8c12c69d63486b4f99cf4028e8ce1e5ac03edf1f2800981d8bb510d40
- Size of remote file:
- 887 MB
- SHA256:
- f9863be0e520c1d524ed6c225cfcfc01663c97070ca9d3504c6b39a63ffc3a22
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