Instructions to use allenai/specter2_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use allenai/specter2_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="allenai/specter2_base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("allenai/specter2_base") model = AutoModel.from_pretrained("allenai/specter2_base", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
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README.md
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|allenai/specter2|[allenai/specter2_base](https://huggingface.co/allenai/specter2_base)|
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|allenai/specter2_proximity|[allenai/specter2](https://huggingface.co/allenai/specter2)|
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2. We have a parallel version where the base transformer encoder version is pre-trained on a collection of newer papers (published after 2018).
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However, for benchmarking purposes, please continue using the current version.
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|allenai/specter2|[allenai/specter2_base](https://huggingface.co/allenai/specter2_base)|
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|allenai/specter2_proximity|[allenai/specter2](https://huggingface.co/allenai/specter2)|
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2. We have a parallel version (termed [aug2023refresh](https://huggingface.co/allenai/specter2_aug2023refresh)) where the base transformer encoder version is pre-trained on a collection of newer papers (published after 2018).
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However, for benchmarking purposes, please continue using the current version.
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