Instructions to use gianma/classifierEUtopLevelRoberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gianma/classifierEUtopLevelRoberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gianma/classifierEUtopLevelRoberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gianma/classifierEUtopLevelRoberta") model = AutoModelForSequenceClassification.from_pretrained("gianma/classifierEUtopLevelRoberta") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4487362142deb92187520267d70e75dbd098573ff3effd7a18959f562a742136
- Size of remote file:
- 1.35 GB
- SHA256:
- 684bac10f336c219cc67d8a3507e684fddf1b5aafda920860a3f994d5fe2e9a8
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