Instructions to use Ro551/mt5-small-GEC-spanish-LORA-merged with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Ro551/mt5-small-GEC-spanish-LORA-merged with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("google/mt5-small") model = PeftModel.from_pretrained(base_model, "Ro551/mt5-small-GEC-spanish-LORA-merged") - Transformers
How to use Ro551/mt5-small-GEC-spanish-LORA-merged with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Ro551/mt5-small-GEC-spanish-LORA-merged", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8197bf00f68980fc133f0855d70ccea560e4aab1c4341df580195ebe16d69b4a
- Size of remote file:
- 5.39 kB
- SHA256:
- 44e40332d6e9ba3e5a371f072a6bc4bf501e039d4c9f2de0986e62058cc17cf8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.