Instructions to use lingadevaruhp/thoshan_Flash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use lingadevaruhp/thoshan_Flash with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-9b-it-bnb-4bit") model = PeftModel.from_pretrained(base_model, "lingadevaruhp/thoshan_Flash") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
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README.md
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license: mit
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pipeline_tag: text-generation
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---
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license: mit
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pipeline_tag: text-generation
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datasets:
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- kannanwisen/De-Hazing-Dataset
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language:
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- af
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metrics:
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- accuracy
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base_model:
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- microsoft/Phi-3-mini-128k-instruct
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tags:
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- kannada
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- Flirty
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- Bangalore
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