Instructions to use davaa33/mns_tokenizer_normalized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davaa33/mns_tokenizer_normalized with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("davaa33/mns_tokenizer_normalized", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download added_tokens.json from davaa33/mns_tokenizer_normalized: direct link, hf CLI and curl.
- Browser
- Download file 38 Bytes
-
https://huggingface.co/davaa33/mns_tokenizer_normalized/resolve/main/added_tokens.json
- Command line
-
hf download hf://davaa33/mns_tokenizer_normalized/added_tokens.json
-
curl -L -o added_tokens.json https://huggingface.co/davaa33/mns_tokenizer_normalized/resolve/main/added_tokens.json
38 Bytes
| { | |
| "<pad>": 8000, | |
| "[MASK]": 8001 | |
| } | |