Comments (2)
Turkish isn't there yet no, you'll have to run the full line of scripts in the TL;DR up to finetune. Be sure to run benchmark too to see which translation model works best.
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Here's the OASST1 for Turkish https://huggingface.co/datasets/UnderstandLing/oasst1_tr
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Related Issues (20)
- English folder is empty when translated the dataset to english HOT 1
- Question or bug HOT 5
- Feature request: ChatML support
- Madlad: unrecognized arguments: --model_size 7b HOT 2
- Got this error during finetuning HOT 3
- Support finetuning from local disk too
- Issue with THREAD_TEMPLATE HOT 3
- Sample Example for finetuning
- Feedback on the hindi fientuned model HOT 7
- SeamlessM4T-v2 default (medium) model removed from huggingface HOT 1
- nllb.py and madlad.py points to the incorrect HF repositories HOT 9
- error running benchmark.py with seamless HOT 2
- Dataset chat format independent HOT 2
- problem with run_inference.py HOT 4
- Translating takes too long (How to finetuning with QLoRA?) HOT 2
- Question: How would I do this with Phi 2? HOT 1
- Question: translating a monolingual HF Dataset HOT 2
- Can you make a dataset of LLaMa3-8B translated into Japanese? HOT 2
- [Question] What framework is able to load this adapter and serve the resulting model as an OpenAI endpoint? HOT 1
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