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:
- b0e6ee9fefcb75b8b598a058743627a23c9e73f6d842ce8a5fe71a15c4d436ed
- Size of remote file:
- 17.1 MB
- SHA256:
- dd00809abb98a9654aae9f90199146d6a1d5c7f1470ed4fc20dd7e77df378e15
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