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
Download pytorch_model.bin from allenai/specter: direct link, hf CLI and curl.
- Browser
- Download file 440 MB
-
https://huggingface.co/allenai/specter/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://allenai/specter/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/allenai/specter/resolve/main/pytorch_model.bin
440 MB
- Xet hash:
- 74fd647fa453ba3e0cb127e018bfab3c26594c799410c0364f120bb8e24df0c0
- Size of remote file:
- 440 MB
- SHA256:
- a260abd90ae4bbb5aae9e040b5910ab68f27bac0cc13b1d1c9b83e42e880972c
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