Instructions to use furrutiav/neobert_mixtral_nllfg_vanilla_sst2_none_naive 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_none_naive 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_none_naive", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("furrutiav/neobert_mixtral_nllfg_vanilla_sst2_none_naive", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7eb8e5f7bb457b9325a40bf44e2d353d5f25f256d81e40acea50d3d028f1e960
- Size of remote file:
- 887 MB
- SHA256:
- e96b8539ba200e438d918ae96857d656ac24f42ad42d93d2ab174a83365826df
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