Instructions to use Manirathinam21/Multilingual_lang_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Manirathinam21/Multilingual_lang_detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Manirathinam21/Multilingual_lang_detection")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Manirathinam21/Multilingual_lang_detection") model = AutoModelForSequenceClassification.from_pretrained("Manirathinam21/Multilingual_lang_detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Manirathinam21/Multilingual_lang_detection: direct link, hf CLI and curl.
- Browser
- Download file 3.64 kB
-
https://huggingface.co/Manirathinam21/Multilingual_lang_detection/resolve/main/training_args.bin
- Command line
-
hf download hf://Manirathinam21/Multilingual_lang_detection/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/Manirathinam21/Multilingual_lang_detection/resolve/main/training_args.bin
3.64 kB
- Xet hash:
- d2873f266049f54ebae2eac68b0c1efb52b790dbbe39b739478735b58e8cc4c1
- Size of remote file:
- 3.64 kB
- SHA256:
- 1f5f4ca2aea327c33faaec736b26c473064a6812bef5f7117aa9b99b3d060e93
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