Instructions to use AnonymousSub/specter-bert-model_copy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/specter-bert-model_copy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AnonymousSub/specter-bert-model_copy")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/specter-bert-model_copy") model = AutoModel.from_pretrained("AnonymousSub/specter-bert-model_copy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7c2559e26776226aa997806fdb465a39dc79e728d7aa7cdb487985198ebeb92e
- Size of remote file:
- 438 MB
- SHA256:
- bb8e056c9428d3b6e2941a5f9f86cd901c121877fa2b2d7eb9f9a3a66548cb90
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