Instructions to use malteos/aspect-acl-scibert-scivocab-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use malteos/aspect-acl-scibert-scivocab-uncased with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, BertForMultiLabelSequenceClassification tokenizer = AutoTokenizer.from_pretrained("malteos/aspect-acl-scibert-scivocab-uncased") model = BertForMultiLabelSequenceClassification.from_pretrained("malteos/aspect-acl-scibert-scivocab-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add multilingual to the language tag (#1)
- Add multilingual to the language tag (ab07385ef83c264959e73c0c4f5ad9fd8a8b911a) Co-authored-by: Loïck BOURDOIS <lbourdois@users.noreply.huggingface.co>756c53e
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Upload pytorch_model.bin with git-lfs
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Upload vocab.txt
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Upload config.json
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Create README.md
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initial commit
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