Instructions to use Hammad712/troce-urdu-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hammad712/troce-urdu-v2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Hammad712/troce-urdu-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Hammad712/troce-urdu-v2: direct link, hf CLI and curl.
- Browser
- Download file 3.54 MB
-
https://huggingface.co/Hammad712/troce-urdu-v2/resolve/main/tokenizer.json
- Command line
-
hf download hf://Hammad712/troce-urdu-v2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Hammad712/troce-urdu-v2/resolve/main/tokenizer.json
3.54 MB
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