Instructions to use entropy25/moe_en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use entropy25/moe_en 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_en") - Transformers
How to use entropy25/moe_en with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("entropy25/moe_en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4cbdc0158f68794029ce1a722a7259597b3ccba32e82ac90f2d33a635f0a2aef
- Size of remote file:
- 32.2 MB
- SHA256:
- 570293b084645660e4881a8acf17c2c28dac07a64b17cc0dca332ef61fb1b0b9
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