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")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("allenai/specter") model = AutoModel.from_pretrained("allenai/specter") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 74fd647fa453ba3e0cb127e018bfab3c26594c799410c0364f120bb8e24df0c0
- Size of remote file:
- 440 MB
- SHA256:
- a260abd90ae4bbb5aae9e040b5910ab68f27bac0cc13b1d1c9b83e42e880972c
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