Instructions to use tungp55/lora_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tungp55/lora_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tungp55/lora_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer_config.json from tungp55/lora_model: direct link, hf CLI and curl.
- Browser
- Download file 377 Bytes
-
https://huggingface.co/tungp55/lora_model/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://tungp55/lora_model/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/tungp55/lora_model/resolve/main/tokenizer_config.json
377 Bytes
| { | |
| "add_prefix_space": false, | |
| "backend": "tokenizers", | |
| "bos_token": null, | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "<|endoftext|>", | |
| "errors": "replace", | |
| "is_local": false, | |
| "model_max_length": 32768, | |
| "pad_token": "<|PAD_TOKEN|>", | |
| "padding_side": "left", | |
| "split_special_tokens": false, | |
| "tokenizer_class": "Qwen2Tokenizer", | |
| "unk_token": null | |
| } | |