Instructions to use henryscheible/stereoset_binary_bert_classifieronly with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use henryscheible/stereoset_binary_bert_classifieronly with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="henryscheible/stereoset_binary_bert_classifieronly")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("henryscheible/stereoset_binary_bert_classifieronly") model = AutoModelForSequenceClassification.from_pretrained("henryscheible/stereoset_binary_bert_classifieronly") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 69ce847b6545d8d9290f373b3467372dc2737b3d8dedc5e0a86f5faa24b57164
- Size of remote file:
- 438 MB
- SHA256:
- e45139fa0f0744169c2eea882826f0e98e417ff2b5cd6ce0e463b759af99f244
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