Text Classification
Transformers
ONNX
xlm-roberta
language
language-detection
text-embeddings-inference
Instructions to use protectai/xlm-roberta-base-language-detection-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use protectai/xlm-roberta-base-language-detection-onnx with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="protectai/xlm-roberta-base-language-detection-onnx")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("protectai/xlm-roberta-base-language-detection-onnx") model = AutoModelForSequenceClassification.from_pretrained("protectai/xlm-roberta-base-language-detection-onnx") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 611ab25fee696ade69d6c7fa3fa9628a082b4a57e1b5630d48b5c7021ad49d7d
- Size of remote file:
- 1.11 GB
- SHA256:
- 71b2a7bcc15397859700e8b8e4fe94050b972b23cf02f419d95ef70a63866bb8
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