Instructions to use ArthaLabs/panini-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArthaLabs/panini-tokenizer with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ArthaLabs/panini-tokenizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from ArthaLabs/panini-tokenizer: direct link, hf CLI and curl.
- Browser
- Download file 348 Bytes
-
https://huggingface.co/ArthaLabs/panini-tokenizer/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://ArthaLabs/panini-tokenizer/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/ArthaLabs/panini-tokenizer/resolve/main/tokenizer_config.json
348 Bytes
| { | |
| "tokenizer_class": "PaniniTokenizer", | |
| "auto_map": { | |
| "AutoTokenizer": "tokenizer_hf.PaniniTokenizerHF" | |
| }, | |
| "model_type": "panini_morphological", | |
| "vocab_size": 128000, | |
| "unk_token": "<unk>", | |
| "pad_token": "<pad>", | |
| "bos_token": "<bos>", | |
| "eos_token": "<eos>", | |
| "version": "1.0", | |
| "release_name": "panini-tokenizer" | |
| } |