Instructions to use Kashif786/gemma3-1b-sindhi-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kashif786/gemma3-1b-sindhi-tokenizer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Kashif786/gemma3-1b-sindhi-tokenizer", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4bfd18ebecfe68e57ad51e8679843f34cf6023743e68e00da4bf959485709ce9
- Size of remote file:
- 36.8 MB
- SHA256:
- d9610d115f633c05e82b2c22cfca891b30fdf675bd83dc786606f4b15942dee5
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