Instructions to use huolongguo10/check_sec_tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use huolongguo10/check_sec_tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="huolongguo10/check_sec_tiny")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("huolongguo10/check_sec_tiny") model = AutoModelForSequenceClassification.from_pretrained("huolongguo10/check_sec_tiny") - Notebooks
- Google Colab
- Kaggle
Upload BertForSequenceClassification
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by huolongguo10 - opened
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- pytorch_model.bin +1 -1
config.json
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"_name_or_path": "huolongguo10/check_sec_tiny",
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"architectures": [
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pytorch_model.bin
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size 44713231
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version https://git-lfs.github.com/spec/v1
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oid sha256:261a7554ed66440bad2af4e80c82ec9040c81108966ad870a6e0c34036aee161
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size 44713231
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