Instructions to use fahadqazi/Sindhi-BPE-Tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fahadqazi/Sindhi-BPE-Tokenizer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fahadqazi/Sindhi-BPE-Tokenizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from fahadqazi/Sindhi-BPE-Tokenizer: direct link, hf CLI and curl.
- Browser
- Download file 1.19 MB
-
https://huggingface.co/fahadqazi/Sindhi-BPE-Tokenizer/resolve/main/tokenizer.json
- Command line
-
hf download hf://fahadqazi/Sindhi-BPE-Tokenizer/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/fahadqazi/Sindhi-BPE-Tokenizer/resolve/main/tokenizer.json
1.19 MB
File too large to display, you can check the raw version instead.