Instructions to use fenguhao/ngram-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fenguhao/ngram-tokenizer with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fenguhao/ngram-tokenizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from fenguhao/ngram-tokenizer: direct link, hf CLI and curl.
- Browser
- Download file 412 Bytes
-
https://huggingface.co/fenguhao/ngram-tokenizer/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://fenguhao/ngram-tokenizer/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/fenguhao/ngram-tokenizer/resolve/main/special_tokens_map.json
412 Bytes
| { | |
| "bos_token": { | |
| "content": "0 ", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "eos_token": { | |
| "content": "1 ", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "mask_token": { | |
| "content": "<mask>", | |
| "lstrip": true, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |