Instructions to use kangaroo927/test_auto_protocol with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kangaroo927/test_auto_protocol with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kangaroo927/test_auto_protocol")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kangaroo927/test_auto_protocol") model = AutoModelForSequenceClassification.from_pretrained("kangaroo927/test_auto_protocol") - Notebooks
- Google Colab
- Kaggle
Commit ·
2d17096
1
Parent(s): 2d0748e
add model
Browse files- config.json +1 -1
- pytorch_model.bin +2 -2
config.json
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"BertForSequenceClassification"
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{
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"_name_or_path": "test_auto_protocol",
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"architectures": [
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"BertForSequenceClassification"
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pytorch_model.bin
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size 438094665
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