Instructions to use mystt/llama-tr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mystt/llama-tr with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("huggyllama/llama-7b") model = PeftModel.from_pretrained(base_model, "mystt/llama-tr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 21c7f2375b245a7bc196a9d0f0d282b9d46301e194b35837771a10f60a34788b
- Size of remote file:
- 8.43 MB
- SHA256:
- 9f8f0e90286c52f99954618f22dbe207811b5b5238f39220233b92fd0dda42b0
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