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:
- ad35b7b1dd79d6ac354f7c318e85993997c164c5346a1c0ded9a5a6fa4472b38
- Size of remote file:
- 5.39 kB
- SHA256:
- cd8dc6b2aeced2fc922ca26bea791b948d4673c9dec3b0ec502d2285daa203dc
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