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
Commit ·
5e640e6
1
Parent(s): a9f8c8d
Upload BertForSequenceClassification
Browse files- config.json +1 -1
- pytorch_model.bin +1 -1
config.json
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"_name_or_path": "out/2.0_checkpoint/",
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"architectures": [
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pytorch_model.bin
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size 438003309
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