Instructions to use henryscheible/stereoset_all_bert_classifieronly_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use henryscheible/stereoset_all_bert_classifieronly_0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="henryscheible/stereoset_all_bert_classifieronly_0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("henryscheible/stereoset_all_bert_classifieronly_0") model = AutoModelForSequenceClassification.from_pretrained("henryscheible/stereoset_all_bert_classifieronly_0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f078640de77a1e67b1188665304663994bc03ac37715bb6447817a01e4f4b7c9
- Size of remote file:
- 438 MB
- SHA256:
- 5f342de8ea6f87ae11ca16ae325a3844111bfa19a0f8a1d6115e0f432b15422e
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