Instructions to use allenai/specter2_aug2023refresh_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use allenai/specter2_aug2023refresh_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="allenai/specter2_aug2023refresh_base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("allenai/specter2_aug2023refresh_base") model = AutoModel.from_pretrained("allenai/specter2_aug2023refresh_base", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d11f68fd992c85f045d0c308fe26b6732a6cd6be31bc684f526c90eef2a0e97
- Size of remote file:
- 440 MB
- SHA256:
- dcc6b1cdb4545ab794c3d683a0a3e3b467fd740883781d419074434d6b23361a
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