Instructions to use agsc/scibert-bf16-acceptance with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use agsc/scibert-bf16-acceptance with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="agsc/scibert-bf16-acceptance")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("agsc/scibert-bf16-acceptance") model = AutoModelForSequenceClassification.from_pretrained("agsc/scibert-bf16-acceptance") - Notebooks
- Google Colab
- Kaggle
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### Results
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## Environmental Impact
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### Results
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- Majority Baseline
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- Acc. - 0.75
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- Macro F1 - 0.43
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- SciBERT
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- Acc. - 0.82
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- Macro F1 - 0.76
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## Environmental Impact
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