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
File size: 732 Bytes
439af84 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 | {
"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
}
|