Instructions to use Oblix/bert-base-multilingual-cased-language-detection_ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Oblix/bert-base-multilingual-cased-language-detection_ONNX with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Oblix/bert-base-multilingual-cased-language-detection_ONNX")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Oblix/bert-base-multilingual-cased-language-detection_ONNX") model = AutoModelForSequenceClassification.from_pretrained("Oblix/bert-base-multilingual-cased-language-detection_ONNX") - Notebooks
- Google Colab
- Kaggle
https://huggingface.co/jb2k/bert-base-multilingual-cased-language-detection with ONNX weights to be compatible with Transformers.js.
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