Instructions to use entropy25/moe_de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use entropy25/moe_de 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, "entropy25/moe_de") - Transformers
How to use entropy25/moe_de with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("entropy25/moe_de", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 681b2605ad275f79c62195a842add937cacf6a14245209b7a3a98ec482e7618c
- Size of remote file:
- 6.16 kB
- SHA256:
- 47d04ec4ccafd0456f31f2fc6332b0306f774f9dec38b5161606db9a1dfcd1a3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.