Token Classification
Transformers
Safetensors
modernbert
lid
language-identification
multilingual
code-switching
code-mixing
custom_code
Instructions to use nlpai-lab/MixLID with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nlpai-lab/MixLID with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="nlpai-lab/MixLID", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("nlpai-lab/MixLID", trust_remote_code=True) model = AutoModelForTokenClassification.from_pretrained("nlpai-lab/MixLID", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download requirements.txt from nlpai-lab/MixLID: direct link, hf CLI and curl.
- Browser
- Download file 52 Bytes
-
https://huggingface.co/nlpai-lab/MixLID/resolve/main/requirements.txt
- Command line
-
hf download hf://nlpai-lab/MixLID/requirements.txt
-
curl -L -o requirements.txt https://huggingface.co/nlpai-lab/MixLID/resolve/main/requirements.txt
52 Bytes
| torch>=2.2 | |
| transformers>=4.57,<5 | |
| safetensors>=0.4.3 | |