Duplicated from jb2k/bert-base-multilingual-cased-language-detection
How to use Sitata/lang-detect with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sitata/lang-detect")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sitata/lang-detect") model = AutoModelForSequenceClassification.from_pretrained("Sitata/lang-detect", device_map="auto")
https://huggingface.co/Sitata/lang-detect/resolve/main/special_tokens_map.json
hf download hf://Sitata/lang-detect/special_tokens_map.json
curl -L -o special_tokens_map.json https://huggingface.co/Sitata/lang-detect/resolve/main/special_tokens_map.json
