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:
- 2ff8df24d12697414d5ceebfda73a5502d341fdf20cd10344f1ab2fd6084ead9
- Size of remote file:
- 32.2 MB
- SHA256:
- b1582b303fe340cb849e233d1bffd78d3545194c0dbea4cbb25855ad379aa8a2
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