Instructions to use allenai/specter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use allenai/specter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="allenai/specter")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("allenai/specter") model = AutoModel.from_pretrained("allenai/specter", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
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- Update README.md (e989a7cf73d16aef9f6ae8a2ad7d5a25c8c5e402) Co-authored-by: Sergey Feldman <sergeyfeldman@users.noreply.huggingface.co>706d982
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- Update README.md (b897364094543759ea3715685fb541d0a867c1a2) Co-authored-by: Russell <thefuzz@users.noreply.huggingface.co>cbb2b44
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Add TF weights (#3)
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first version of specter
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