Instructions to use sumanthbhargava/mt5-base-lora-encoding-correction-1k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sumanthbhargava/mt5-base-lora-encoding-correction-1k with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sumanthbhargava/mt5-base-lora-encoding-correction-1k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 305 Bytes
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