Text Classification
Transformers
PyTorch
TensorFlow
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use papluca/xlm-roberta-base-language-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use papluca/xlm-roberta-base-language-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="papluca/xlm-roberta-base-language-detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("papluca/xlm-roberta-base-language-detection") model = AutoModelForSequenceClassification.from_pretrained("papluca/xlm-roberta-base-language-detection") - Inference
- Notebooks
- Google Colab
- Kaggle
Create Puplica
#18 opened 6 months ago
by
ViolettaY
Adding ONNX file of this model
#17 opened over 1 year ago
by
motirodan
onnx-model
๐ 1
#16 opened over 1 year ago
by
fishcharlie
How can I add some some new languages into your model?
2
#15 opened over 1 year ago
by
throsun
Cannot distinguish between Simplified Chinese and Traditional Chinese.
#12 opened about 2 years ago
by
RDY97
How can you build a model like that ?
#11 opened over 2 years ago
by
MohamedZouabi
Poor results with informal English greetings
๐ 2
2
#10 opened over 2 years ago
by
ymurenko
Update README.md
#3 opened about 3 years ago
by
xuzichu
"Hola" is classified as "sw"
#2 opened about 3 years ago
by
juanmanavarro