Instructions to use Jamie1701/cif-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jamie1701/cif-tokenizer with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Jamie1701/cif-tokenizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from Jamie1701/cif-tokenizer: direct link, hf CLI and curl.
- Browser
- Download file 82 Bytes
-
https://huggingface.co/Jamie1701/cif-tokenizer/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://Jamie1701/cif-tokenizer/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/Jamie1701/cif-tokenizer/resolve/main/tokenizer_config.json
82 Bytes
| {"unk_token": "<unk>", "vocab_size": 377, "tokenizer_class": "CustomCIFTokenizer"} |