Text Generation
PEFT
Safetensors
English
mental-health
counseling
lora
diffusion-language-model
LLaDA
conversational
Instructions to use Chekhov0919/BiGraph-Diffuse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Chekhov0919/BiGraph-Diffuse with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/path/to/base/model") model = PeftModel.from_pretrained(base_model, "Chekhov0919/BiGraph-Diffuse") - Notebooks
- Google Colab
- Kaggle
File size: 747 Bytes
79ed4d8 | 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 37 38 39 | {
"additional_special_tokens": [
"<role>",
"</role>",
"<|arithmetic_start|>",
"<|arithmetic_end|>",
"<|number_start|>",
"<|number_end|>"
],
"bos_token": {
"content": "<|startoftext|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
},
"cls_token": {
"content": "[CLS]",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
},
"eos_token": {
"content": "<|endoftext|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
},
"pad_token": {
"content": "<|endoftext|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
}
}
|