Instructions to use huolongguo10/check_sec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use huolongguo10/check_sec with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="huolongguo10/check_sec")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("huolongguo10/check_sec") model = AutoModelForSequenceClassification.from_pretrained("huolongguo10/check_sec", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 45dae951bd9df66cde1de348b3da615b62f39c7b1a9d906169204813d100734d
- Size of remote file:
- 438 MB
- SHA256:
- a2290216749b90fa981aff34d8f278070970b9d03ad05af51fcc7838646b9bc3
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