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:
- e7862f40147a1bfea023278730d1b2a98171b6751d9d2010d37da53ecdf8a51e
- Size of remote file:
- 3.06 kB
- SHA256:
- 51739794a631065dc342715b23b38cd583a2b306e00a2bb1ceab70162b38ba58
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