Instructions to use LightChen2333/deberta-v3-dpf-mix-snips with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LightChen2333/deberta-v3-dpf-mix-snips with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import PretrainedModelForSLUToSave model = PretrainedModelForSLUToSave.from_pretrained("LightChen2333/deberta-v3-dpf-mix-snips", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from LightChen2333/deberta-v3-dpf-mix-snips: direct link, hf CLI and curl.
- Browser
- Download file 154 Bytes
-
https://huggingface.co/LightChen2333/deberta-v3-dpf-mix-snips/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://LightChen2333/deberta-v3-dpf-mix-snips/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/LightChen2333/deberta-v3-dpf-mix-snips/resolve/main/tokenizer_config.json
154 Bytes
| { | |
| "clean_up_tokenization_spaces": true, | |
| "model_max_length": 1000000000000000019884624838656, | |
| "tokenizer_class": "PreTrainedTokenizerForSLUToSave" | |
| } | |