Instructions to use xray1111/emotion-ft-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use xray1111/emotion-ft-4bit with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("baichuan-inc/baichuan-7B") model = PeftModel.from_pretrained(base_model, "xray1111/emotion-ft-4bit") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.model from xray1111/emotion-ft-4bit: direct link, hf CLI and curl.
- Browser
- Download file 1.14 MB
-
https://huggingface.co/xray1111/emotion-ft-4bit/resolve/main/tokenizer.model
- Command line
-
hf download hf://xray1111/emotion-ft-4bit/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/xray1111/emotion-ft-4bit/resolve/main/tokenizer.model
1.14 MB
- Xet hash:
- cb10bf683b1ce9c5971bf6170d7d95b97eafa413ea531e5796247e32cc2d745f
- Size of remote file:
- 1.14 MB
- SHA256:
- 4be54af290d93c113bcbf421115ae9eed9d6340408f564898f1e966dc738ef01
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.