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