Instructions to use Rekin226/nllb-600M-moore-lora-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Rekin226/nllb-600M-moore-lora-v0 with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("facebook/nllb-200-distilled-600M") model = PeftModel.from_pretrained(base_model, "Rekin226/nllb-600M-moore-lora-v0") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Rekin226/nllb-600M-moore-lora-v0: direct link, hf CLI and curl.
- Browser
- Download file 5.33 kB
-
https://huggingface.co/Rekin226/nllb-600M-moore-lora-v0/resolve/main/training_args.bin
- Command line
-
hf download hf://Rekin226/nllb-600M-moore-lora-v0/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Rekin226/nllb-600M-moore-lora-v0/resolve/main/training_args.bin
5.33 kB
- Xet hash:
- 75100ff9401f93bc98343561131909b90808a2f87a7f0fd6a1b0abbca6a4bf91
- Size of remote file:
- 5.33 kB
- SHA256:
- 776ff026b9a4921c91c81b162ae65c5f6a642ac7a5db9e741a95dfab2e2691e4
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