Instructions to use NAQarabash/cuneiformBase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NAQarabash/cuneiformBase with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("NAQarabash/cuneiformBase") model = AutoModelForSeq2SeqLM.from_pretrained("NAQarabash/cuneiformBase", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from NAQarabash/cuneiformBase: direct link, hf CLI and curl.
- Browser
- Download file 219 Bytes
-
https://huggingface.co/NAQarabash/cuneiformBase/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://NAQarabash/cuneiformBase/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/NAQarabash/cuneiformBase/resolve/main/tokenizer_config.json
219 Bytes
| { | |
| "backend": "tokenizers", | |
| "eos_token": "</s>", | |
| "extra_special_tokens": [ | |
| "<missing>" | |
| ], | |
| "model_max_length": 256, | |
| "pad_token": "<pad>", | |
| "tokenizer_class": "TokenizersBackend", | |
| "unk_token": "<unk>" | |
| } | |