Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use LBenoit/EUroBerta-xlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LBenoit/EUroBerta-xlm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LBenoit/EUroBerta-xlm")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LBenoit/EUroBerta-xlm") model = AutoModelForSequenceClassification.from_pretrained("LBenoit/EUroBerta-xlm") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb67b2c089ae92760163a947c38f24df8dd5c4a1383acdd70e044c40fa3ad89a
- Size of remote file:
- 5.3 kB
- SHA256:
- 58ed1fbc197bfad07189ab8deab7e138d1ccb1559207a8ea8cd531b3b43d76b0
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