Text Classification
Transformers
Safetensors
xlm-roberta
language-identification
multilingual
Eval Results (legacy)
text-embeddings-inference
Instructions to use SashaSk/xlm-roberta-language-id with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SashaSk/xlm-roberta-language-id with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SashaSk/xlm-roberta-language-id")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SashaSk/xlm-roberta-language-id") model = AutoModelForSequenceClassification.from_pretrained("SashaSk/xlm-roberta-language-id") - Notebooks
- Google Colab
- Kaggle
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