Instructions to use furrutiav/neobert_mixtral_nllfg_vanilla_sst2_sentence_embd_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_sentence_embd_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_sentence_embd_centroid", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("furrutiav/neobert_mixtral_nllfg_vanilla_sst2_sentence_embd_centroid", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eb4af32173f3c6f8334b94479667a8e5cd08c4eee5a743dc93c9b03e8cb51b5e
- Size of remote file:
- 887 MB
- SHA256:
- 86ac7ef316d1404db1b01efaed977182999390e7d074b140d3f5922d2faa317e
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