Instructions to use Ro551/m2m100_418M-GEC-spanish-LORA-synthetic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Ro551/m2m100_418M-GEC-spanish-LORA-synthetic with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("facebook/m2m100_418M") model = PeftModel.from_pretrained(base_model, "Ro551/m2m100_418M-GEC-spanish-LORA-synthetic") - Transformers
How to use Ro551/m2m100_418M-GEC-spanish-LORA-synthetic with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Ro551/m2m100_418M-GEC-spanish-LORA-synthetic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1df8d95de50669f19a2f0522b7f5aa831202e4cb96566ceb5b377c5784a8d1ed
- Size of remote file:
- 2.42 MB
- SHA256:
- d8f7c76ed2a5e0822be39f0a4f95a55eb19c78f4593ce609e2edbc2aea4d380a
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