Instructions to use snsf-data/specter2-review-proposal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use snsf-data/specter2-review-proposal with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="snsf-data/specter2-review-proposal")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("snsf-data/specter2-review-proposal") model = AutoModelForSequenceClassification.from_pretrained("snsf-data/specter2-review-proposal", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Updating references
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updating model card
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Adding model card for specter2-review-proposal
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Upload BertForSequenceClassification
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initial commit
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