Instructions to use Ashkchamp/QWEN-2B-surface with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Ashkchamp/QWEN-2B-surface with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-VL-2B-Instruct") model = PeftModel.from_pretrained(base_model, "Ashkchamp/QWEN-2B-surface") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Ashkchamp/QWEN-2B-surface: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/Ashkchamp/QWEN-2B-surface/resolve/main/tokenizer.json
- Command line
-
hf download hf://Ashkchamp/QWEN-2B-surface/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Ashkchamp/QWEN-2B-surface/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- edc9debc76103ad22bdcc5c669d8d7b4815e3dd80a79371c91aed6b083a83ae4
- Size of remote file:
- 11.4 MB
- SHA256:
- 00ff1d43b119596534f778ecc067f5b457d2ce2fe2665ab12fe7a8705fda3437
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