Instructions to use a2ran/kor_chatGLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use a2ran/kor_chatGLM with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("THUDM/chatglm-6b") model = PeftModel.from_pretrained(base_model, "a2ran/kor_chatGLM") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from a2ran/kor_chatGLM: direct link, hf CLI and curl.
- Browser
- Download file 58.7 MB
-
https://huggingface.co/a2ran/kor_chatGLM/resolve/main/adapter_model.bin
- Command line
-
hf download hf://a2ran/kor_chatGLM/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/a2ran/kor_chatGLM/resolve/main/adapter_model.bin
58.7 MB
- Xet hash:
- cdcc1c3c9a40fe1218a1df27da59a4307c8caa26c5875217e52721a5821318a3
- Size of remote file:
- 58.7 MB
- SHA256:
- 57c5a8135849873c2b2cfa35822fade1920badb55d3b5c1ffa7057bcee70b281
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