Instructions to use henryscheible/stereoset_binary_roberta-large_classifieronly with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use henryscheible/stereoset_binary_roberta-large_classifieronly with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="henryscheible/stereoset_binary_roberta-large_classifieronly")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("henryscheible/stereoset_binary_roberta-large_classifieronly") model = AutoModelForSequenceClassification.from_pretrained("henryscheible/stereoset_binary_roberta-large_classifieronly", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Upload tokenizer
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Upload RobertaForSequenceClassification
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Upload validation.json with huggingface_hub
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initial commit
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