Instructions to use tmoroder/qwen2-7b-instruct-amazon-description-clone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tmoroder/qwen2-7b-instruct-amazon-description-clone with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2-VL-7B-Instruct") model = PeftModel.from_pretrained(base_model, "tmoroder/qwen2-7b-instruct-amazon-description-clone") - Notebooks
- Google Colab
- Kaggle
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# qwen2-7b-instruct-amazon-description-clone
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This model is a fine-tuned version of [Qwen/Qwen2-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct) on an unknown dataset.
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## Model description
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# qwen2-7b-instruct-amazon-description-clone
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This model is a fine-tuned version of [Qwen/Qwen2-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct) on an unknown dataset.
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Clone of [philschmid/qwen2-2b-instruct-amazon-description](https://huggingface.co/philschmid/qwen2-2b-instruct-amazon-description). See his blog [How to Fine-Tune Multimodal Models or VLMs with Hugging Face TRL](https://www.philschmid.de/fine-tune-multimodal-llms-with-trl) for more details.
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## Model description
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