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:
- 59434d78b4d3021e3bb5029825a18e1cea6ad1e95e0d019faf077bee4f0d70ff
- Size of remote file:
- 3.64 kB
- SHA256:
- 714542776c03fcd75b9ca858118b1b5ea2091df4a8f63388e6804b3a9ab6b786
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