Instructions to use FINDA-FIT/inter-milan-false with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FINDA-FIT/inter-milan-false with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="FINDA-FIT/inter-milan-false")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("FINDA-FIT/inter-milan-false") model = AutoModelForSequenceClassification.from_pretrained("FINDA-FIT/inter-milan-false") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ea659e7e97d17f2e327560930b3d9441b3281aab0c3d59cc250c081411447770
- Size of remote file:
- 2.24 GB
- SHA256:
- 2e2388bf77795121c4cd5f8b6c90d0378ff8da5a1e2c101ccadf6e5e8a8ef850
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