Instructions to use oracat/bert-paper-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use oracat/bert-paper-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="oracat/bert-paper-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("oracat/bert-paper-classifier") model = AutoModelForSequenceClassification.from_pretrained("oracat/bert-paper-classifier") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:b78f6cee9a008dd104910e0ff8419967b93b568c1dc185b535cca057cad1c23e
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size 438073568
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