Instructions to use qanastek/51-languages-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use qanastek/51-languages-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="qanastek/51-languages-classifier")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("qanastek/51-languages-classifier", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1de8d2ef08030eaeda73c006a7d8518f44caa2461290b0d313c40b137a5a70a4
- Size of remote file:
- 2.22 GB
- SHA256:
- 14503cad0cf8ef115210c825e30ac3aa6ef6b6af57f8b14b0df2c13fe9e8b270
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