Instructions to use JeswinMS4/URL_DETECTION with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JeswinMS4/URL_DETECTION with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JeswinMS4/URL_DETECTION")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JeswinMS4/URL_DETECTION") model = AutoModelForSequenceClassification.from_pretrained("JeswinMS4/URL_DETECTION", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db61823e281533e18064f89c9c32c5f3042522c3ffc82b4c6907ade3aeb1df1d
- Size of remote file:
- 711 MB
- SHA256:
- 2dac2705ac6f6acc2641b742f350c3c9d76710793fab77b4ac98b6b1cfee9998
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