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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc23db23a6355911de0d473debc83e751a7133eead7b98c67a6457dce158b28e
- Size of remote file:
- 438 MB
- SHA256:
- b58cb55dd27bb7274f45245489f435f92e432e41ca1c878205d8de6ef33b0b91
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