Instructions to use willyninja30/ARIA_CODE_fr-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use willyninja30/ARIA_CODE_fr-instruct with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-34b-Instruct-hf") model = PeftModel.from_pretrained(base_model, "willyninja30/ARIA_CODE_fr-instruct") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
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by librarian-bot - opened
README.md
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---
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library_name: peft
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license: llama2
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inference: true
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datasets:
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- Enno-Ai/fr-instructs
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language:
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- fr
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- en
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tags:
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- code
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- peft
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- llama
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- llama2
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- codellama
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pipeline_tag: text-generation
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---
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## ARIA CODE FR Instruct is a finetuned model based on LLAMA CODE 34B INSTRUCT
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---
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language:
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- fr
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- en
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license: llama2
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library_name: peft
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tags:
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- code
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- peft
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- llama
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- llama2
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- codellama
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datasets:
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- Enno-Ai/fr-instructs
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inference: true
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pipeline_tag: text-generation
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base_model: codellama/CodeLlama-34b-Instruct-hf
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---
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## ARIA CODE FR Instruct is a finetuned model based on LLAMA CODE 34B INSTRUCT
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