Text Generation
PEFT
Safetensors
Chinese
lora
taide
llama
traditional-chinese
summarization
threads
social-media
conversational
Instructions to use jgigivjry/threads-summary-taide with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jgigivjry/threads-summary-taide with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("chengxi0618/taidelx7bchattv1") model = PeftModel.from_pretrained(base_model, "jgigivjry/threads-summary-taide") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from jgigivjry/threads-summary-taide: direct link, hf CLI and curl.
- Browser
- Download file 4.46 MB
-
https://huggingface.co/jgigivjry/threads-summary-taide/resolve/main/tokenizer.json
- Command line
-
hf download hf://jgigivjry/threads-summary-taide/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/jgigivjry/threads-summary-taide/resolve/main/tokenizer.json
4.46 MB
File too large to display, you can check the raw version instead.