Instructions to use TLDRKKU/burapha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use TLDRKKU/burapha with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-VL-7B-Instruct") model = PeftModel.from_pretrained(base_model, "TLDRKKU/burapha") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from TLDRKKU/burapha: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/TLDRKKU/burapha/resolve/main/tokenizer.json
- Command line
-
hf download hf://TLDRKKU/burapha/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/TLDRKKU/burapha/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- fd0cd6059cd6ee1769ac558edef15b8809744ff20999f643b192783d3a4ea90e
- Size of remote file:
- 11.4 MB
- SHA256:
- 1a7aabe7a3b44651592a99607bb33066e6965260336be9218cccd53af161491d
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