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README.md
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base_model: unsloth/meta-llama-3.1-8b-bnb-4bit
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language:
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- ar
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- en
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library_name: peft
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license: mit
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tags:
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- darija
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- moroccan arabic
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- english
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- translation
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- llama
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---
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# MoroccanDarija-Llama-3.1-8B
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```python
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from transformers import AutoTokenizer, AutoModelForCausalLM
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model_name = "
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForCausalLM.from_pretrained(model_name)
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## Limitations
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This model's performance may vary depending on the complexity and specific dialect of the input Darija text. It works best with standard Moroccan Darija phrases and sentences. Highly colloquial or region-specific expressions may pose challenges.
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### Framework versions
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- PEFT 0.13.0
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---
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language:
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- ar
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- en
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tags:
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- darija
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- moroccan arabic
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- english
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- translation
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- llama
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license: mit
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pipeline_tag: text2text-generation
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---
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# MoroccanDarija-Llama-3.1-8B
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```python
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from transformers import AutoTokenizer, AutoModelForCausalLM
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model_name = "Anassk/MoroccanDarija-Llama-3.1-8B"
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForCausalLM.from_pretrained(model_name)
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## Limitations
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This model's performance may vary depending on the complexity and specific dialect of the input Darija text. It works best with standard Moroccan Darija phrases and sentences. Highly colloquial or region-specific expressions may pose challenges.
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