Instructions to use galbitang/polyglot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use galbitang/polyglot with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("galbitang/polyglot", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from galbitang/polyglot: direct link, hf CLI and curl.
- Browser
- Download file 210 Bytes
-
https://huggingface.co/galbitang/polyglot/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://galbitang/polyglot/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/galbitang/polyglot/resolve/main/tokenizer_config.json
210 Bytes
| { | |
| "clean_up_tokenization_spaces": true, | |
| "eos_token": "<|endoftext|>", | |
| "model_max_length": 1000000000000000019884624838656, | |
| "pad_token": "<|endoftext|>", | |
| "tokenizer_class": "PreTrainedTokenizerFast" | |
| } | |