Instructions to use darrayes/expentor-JB-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use darrayes/expentor-JB-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="darrayes/expentor-JB-detector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("darrayes/expentor-JB-detector") model = AutoModelForSequenceClassification.from_pretrained("darrayes/expentor-JB-detector") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 99173623396096d3a038e7b26579e4a1cfd86b99c7008041af7a4fd120be89bb
- Size of remote file:
- 598 MB
- SHA256:
- cac40339a845d63037aeb1a15976080e23df623a6177365ddc61d4bf9ff474f8
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