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
- Xet hash:
- cef4ba96a01436d4b8d907507b548bcb8a92412824bf4ea9c0c0a78acd0be9dc
- Size of remote file:
- 17.6 MB
- SHA256:
- a100d2804c8af33e2ef248762c71acb8f4876b29ac4ad0b3f76cc19f4eddc956
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