Instructions to use enemydw/Hobby_Recommendation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use enemydw/Hobby_Recommendation with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "enemydw/Hobby_Recommendation") - Notebooks
- Google Colab
- Kaggle
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README.md
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| Llama-3-8B (base) | 51.4% | 59.9% | 73.1% |
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| Hobby_Recommendation model | 53.7% | 59.9% | 73.2% |
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| Mistral-7B-Instruct | --.-% | --.-% | --.-% |
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**Model Performance Summary**
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| Llama-3-8B (base) | 51.4% | 59.9% | 73.1% |
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| Hobby_Recommendation model | 53.7% | 59.9% | 73.2% |
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| Falcon-7B-Instruct | 40.2% | 57.7% | 67.6% |
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| Mistral-7B-Instruct | --.-% | --.-% | --.-% |
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**Model Performance Summary**
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