Instructions to use ybashir/buddy-chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ybashir/buddy-chat with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-0.6B") model = PeftModel.from_pretrained(base_model, "ybashir/buddy-chat") - Notebooks
- Google Colab
- Kaggle
| { | |
| "add_prefix_space": false, | |
| "backend": "tokenizers", | |
| "bos_token": null, | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "<|im_end|>", | |
| "errors": "replace", | |
| "extra_special_tokens": [ | |
| "<|neutral|>", | |
| "<|happy|>", | |
| "<|curious|>", | |
| "<|sad|>", | |
| "<|crying|>", | |
| "<|surprised|>", | |
| "<|sleepy|>", | |
| "<|angry|>", | |
| "<|stressed|>", | |
| "<|excited|>", | |
| "<|love|>", | |
| "<|dizzy|>", | |
| "<|wink|>", | |
| "<|cool|>", | |
| "<|laughing|>", | |
| "<|scared|>", | |
| "<|bored|>", | |
| "<|confused|>" | |
| ], | |
| "is_local": true, | |
| "local_files_only": false, | |
| "model_max_length": 131072, | |
| "pad_token": "<|endoftext|>", | |
| "split_special_tokens": false, | |
| "tokenizer_class": "Qwen2Tokenizer", | |
| "unk_token": null | |
| } | |