Text Classification
Transformers
LiteRT
ONNX
Safetensors
bert
language
detection
classification
text-embeddings-inference
Instructions to use dewdev/language_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dewdev/language_detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dewdev/language_detection")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dewdev/language_detection") model = AutoModelForSequenceClassification.from_pretrained("dewdev/language_detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from dewdev/language_detection: direct link, hf CLI and curl.
- Browser
- Download file 1.11 MB
-
https://huggingface.co/dewdev/language_detection/resolve/main/tokenizer.json
- Command line
-
hf download hf://dewdev/language_detection/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/dewdev/language_detection/resolve/main/tokenizer.json
1.11 MB
File too large to display, you can check the raw version instead.