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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e2a84536a377fdc6be12676831fb1b6cfad0a421fa2b277d46a9b71903be1d0e
- Size of remote file:
- 5.43 kB
- SHA256:
- 5494f88bcf3c28a5d9eb8b99f6fc15bf91ccaa944a2f37fa96cffe5569ccc3ac
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