Instructions to use alex2awesome/source-affiliation-model__basic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alex2awesome/source-affiliation-model__basic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="alex2awesome/source-affiliation-model__basic")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("alex2awesome/source-affiliation-model__basic") model = AutoModelForSequenceClassification.from_pretrained("alex2awesome/source-affiliation-model__basic") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eee3a977f0614c8bc0cbd6e9bb9cebc770d8e521f02ff63f185d6cf68ba64584
- Size of remote file:
- 499 MB
- SHA256:
- 9506e4bc2e013a9874713db6d130769815bbba8754b61ad700279548d549e016
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