Instructions to use Fkhatiri/arabic_dialects_translation_to_MSA_mistral-Module with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Fkhatiri/arabic_dialects_translation_to_MSA_mistral-Module with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TheBloke/Mistral-7B-Instruct-v0.2-GPTQ") model = PeftModel.from_pretrained(base_model, "Fkhatiri/arabic_dialects_translation_to_MSA_mistral-Module") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Fkhatiri/arabic_dialects_translation_to_MSA_mistral-Module: direct link, hf CLI and curl.
- Browser
- Download file 3.51 MB
-
https://huggingface.co/Fkhatiri/arabic_dialects_translation_to_MSA_mistral-Module/resolve/main/tokenizer.json
- Command line
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hf download hf://Fkhatiri/arabic_dialects_translation_to_MSA_mistral-Module/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Fkhatiri/arabic_dialects_translation_to_MSA_mistral-Module/resolve/main/tokenizer.json
3.51 MB
File too large to display, you can check the raw version instead.