Instructions to use LocalDoc/language_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LocalDoc/language_detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LocalDoc/language_detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LocalDoc/language_detection") model = AutoModelForSequenceClassification.from_pretrained("LocalDoc/language_detection") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer.json
Browse files- tokenizer.json +3 -0
tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:3c088c06cf975b7097e469bd69630cdb0d675c6db1ce3af1042b6e19c6d01f22
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size 17082999
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