Instructions to use KateMajzel/tokenizer-pl-32k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KateMajzel/tokenizer-pl-32k with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("KateMajzel/tokenizer-pl-32k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from KateMajzel/tokenizer-pl-32k: direct link, hf CLI and curl.
- Browser
- Download file 202 Bytes
-
https://huggingface.co/KateMajzel/tokenizer-pl-32k/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://KateMajzel/tokenizer-pl-32k/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/KateMajzel/tokenizer-pl-32k/resolve/main/tokenizer_config.json
202 Bytes
| { | |
| "tokenizer_class": "PreTrainedTokenizerFast", | |
| "bos_token": "<|endoftext|>", | |
| "eos_token": "<|endoftext|>", | |
| "pad_token": "<|pad|>", | |
| "unk_token": null, | |
| "clean_up_tokenization_spaces": false | |
| } |