Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use Minh64/XLM_Domain_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Minh64/XLM_Domain_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Minh64/XLM_Domain_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Minh64/XLM_Domain_classifier") model = AutoModelForSequenceClassification.from_pretrained("Minh64/XLM_Domain_classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d29f4fa89253e4e9e3360169a34ade756e29cf25843665b8b9d455d10a04652b
- Size of remote file:
- 5.3 kB
- SHA256:
- 86caead624841dade7fdc7c3b9bd250902476d1642df03579ee6aa55e3781df7
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