Instructions to use vedkcoder/peft-language-code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vedkcoder/peft-language-code with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "vedkcoder/peft-language-code") - Notebooks
- Google Colab
- Kaggle
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---
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library_name: peft
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base_model: meta-llama/Llama-2-7b-hf
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---
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# Model Card for Model ID
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- **Developed by:**
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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### Direct Use
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library_name: peft
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base_model: meta-llama/Llama-2-7b-hf
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datasets:
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- neulab/conala
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language:
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- en
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tags:
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- Coding
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# Model Card for Model ID
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- **Developed by:** Ved Kokane
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- **Model type:** HF
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- **Language(s) (NLP):** English
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- **Finetuned from model [optional]:** Lllama 2 7B HF
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## Uses
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This is a fine-tuned coding model used for data scienece related coding problems.
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### Direct Use
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