Instructions to use FaceHugger152/agent4.2-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FaceHugger152/agent4.2-lora with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("FaceHugger152/agent4.2-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer_config.json from FaceHugger152/agent4.2-lora: direct link, hf CLI and curl.
- Browser
- Download file 418 Bytes
-
https://huggingface.co/FaceHugger152/agent4.2-lora/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://FaceHugger152/agent4.2-lora/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/FaceHugger152/agent4.2-lora/resolve/main/tokenizer_config.json
418 Bytes
| { | |
| "add_prefix_space": false, | |
| "backend": "tokenizers", | |
| "bos_token": null, | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "<|im_end|>", | |
| "errors": "replace", | |
| "is_local": false, | |
| "model_max_length": 262144, | |
| "pad_token": "<|vision_pad|>", | |
| "padding_side": "right", | |
| "processor_class": "Qwen3VLProcessor", | |
| "split_special_tokens": false, | |
| "tokenizer_class": "Qwen2Tokenizer", | |
| "unk_token": null | |
| } | |