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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca0b5df3dd80ad045d3e841c02e2a175b8205aaa77efc7773d85b5e3b93bb0da
- Size of remote file:
- 440 MB
- SHA256:
- e673eeabca7ad162fbfb2281065ffba53d909267a93500e532e0a432fac2fcb2
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