Instructions to use henryscheible/stereoset_binary_bert_all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use henryscheible/stereoset_binary_bert_all with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="henryscheible/stereoset_binary_bert_all")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("henryscheible/stereoset_binary_bert_all") model = AutoModelForSequenceClassification.from_pretrained("henryscheible/stereoset_binary_bert_all", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
4d8e6d0
1
Parent(s): 809a792
Upload model
Browse files- config.json +1 -1
- pytorch_model.bin +1 -1
config.json
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"_name_or_path": "out/
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"architectures": [
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"BertModel"
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"_name_or_path": "out/1.40_checkpoint/",
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"architectures": [
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"BertModel"
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pytorch_model.bin
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oid sha256:bcbb296cac0fe85e98616043edb34e95aad39bd02d7f9274b7ef85ed613f5e2c
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size 437995569
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