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
Download tokenizer.json from Chekhov0919/BiGraph-Diffuse: direct link, hf CLI and curl.
- Browser
- Download file 6.1 MB
-
https://huggingface.co/Chekhov0919/BiGraph-Diffuse/resolve/ffb0fec5111754b41566a8bc72a67e5f9274eae4/tokenizer.json
- Command line
-
hf download hf://Chekhov0919/BiGraph-Diffuse@ffb0fec5111754b41566a8bc72a67e5f9274eae4/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Chekhov0919/BiGraph-Diffuse/resolve/ffb0fec5111754b41566a8bc72a67e5f9274eae4/tokenizer.json
6.1 MB
File too large to display, you can check the raw version instead.