Instructions to use MuseMesh/mume-tokenizer-32k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MuseMesh/mume-tokenizer-32k with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MuseMesh/mume-tokenizer-32k", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from MuseMesh/mume-tokenizer-32k: direct link, hf CLI and curl.
- Browser
- Download file 424 Bytes
-
https://huggingface.co/MuseMesh/mume-tokenizer-32k/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://MuseMesh/mume-tokenizer-32k/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/MuseMesh/mume-tokenizer-32k/resolve/main/tokenizer_config.json
424 Bytes
| { | |
| "tokenizer_class": "PreTrainedTokenizerFast", | |
| "auto_map": { | |
| "AutoTokenizer": [ | |
| "tokenization_mume.MumeTokenizer", | |
| null | |
| ] | |
| }, | |
| "unk_token": "<unk>", | |
| "bos_token": "<s>", | |
| "eos_token": "</s>", | |
| "pad_token": "</s>", | |
| "add_bos_token": false, | |
| "add_eos_token": false, | |
| "split_special_tokens": true, | |
| "model_max_length": 1024, | |
| "padding_side": "left", | |
| "clean_up_tokenization_spaces": false | |
| } | |