Instructions to use OL-OL/qwen2-7b-instruct-amazon-description with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use OL-OL/qwen2-7b-instruct-amazon-description with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-11B-Vision-Instruct") model = PeftModel.from_pretrained(base_model, "OL-OL/qwen2-7b-instruct-amazon-description") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from OL-OL/qwen2-7b-instruct-amazon-description: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/OL-OL/qwen2-7b-instruct-amazon-description/resolve/main/tokenizer.json
- Command line
-
hf download hf://OL-OL/qwen2-7b-instruct-amazon-description/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/OL-OL/qwen2-7b-instruct-amazon-description/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- 784c6b1cbaeb87bac677819d672983c43b34296ac7cd84fb7463b6aeecf281e0
- Size of remote file:
- 17.2 MB
- SHA256:
- 9fbb57879b0540443579fc6b9f70f3784e9acd4abf2f1f21c79b531de2dada24
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