Instructions to use procit007/fine_tuned_robbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use procit007/fine_tuned_robbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="procit007/fine_tuned_robbert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("procit007/fine_tuned_robbert") model = AutoModelForSequenceClassification.from_pretrained("procit007/fine_tuned_robbert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3bfc4284e222039b48210be0985ec813d9c76590fc23d855d432f7bd9b664ee3
- Size of remote file:
- 467 MB
- SHA256:
- 2f453d577d5434e437ce37022cea5db6cb01437d3922b7e6486e8f9a135c56c8
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