Instructions to use Curiousfox/outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Curiousfox/outputs with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("google/mt5-base") model = PeftModel.from_pretrained(base_model, "Curiousfox/outputs") - Transformers
How to use Curiousfox/outputs with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Curiousfox/outputs", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- de0f407496a0b51d2a2d0050da92a674824b50a4a5ca4e87978477ee08d91c08
- Size of remote file:
- 16 MB
- SHA256:
- 2ce3b8c7c21f06f06bc05213fc3c4e6778fecc43747508ce408b9ed1c9d875fd
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