Instructions to use Ro551/m2m100_418M-GEC-spanish-LORA-cowsl2h 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-cowsl2h 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-cowsl2h") - Transformers
How to use Ro551/m2m100_418M-GEC-spanish-LORA-cowsl2h with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Ro551/m2m100_418M-GEC-spanish-LORA-cowsl2h", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b43c639ed577d59de32fac8b3f86002534714ac2373e87fceb4c690e56a7d83
- Size of remote file:
- 5.39 kB
- SHA256:
- 30af281f2783e72ac7e1e59850a910c9bf755a69c014a49e30786cb2e1264f3b
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