Instructions to use Imran1/Translation-r1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Imran1/Translation-r1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/deepscaler-1.5b-preview-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "Imran1/Translation-r1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dcf0a2f6bff8bb9a6f9592eea4c6408b367561f7fb45fe514a92ef62d01a4459
- Size of remote file:
- 1.25 GB
- SHA256:
- 6333b0bcc7e6bb9f4f9829a8a098e3d13dc669a39ced759b5d066ffca01b46d9
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