Instructions to use galdaya/language-identification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use galdaya/language-identification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="galdaya/language-identification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("galdaya/language-identification") model = AutoModelForSequenceClassification.from_pretrained("galdaya/language-identification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e68f0ed8b3d0ae7927f794de7b07950167f70023f62853d64a0d1bbfb0d9e519
- Size of remote file:
- 439 MB
- SHA256:
- 3ef00dbf06b69d418895d15679cb705863af00e921818d2499960faf7db88b34
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