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:
- 3226784cadd9242caa3b4788fd080f97c30a5d91719a48ffe72d440e4ef7baeb
- Size of remote file:
- 1.11 GB
- SHA256:
- 802a39a0e52e2ed6e1b90ce6ad7552f77c4e80370246c0e2d9473329ea256263
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