Instructions to use Arcio/arcio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Arcio/arcio with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Arcio/arcio") model = AutoModelForSeq2SeqLM.from_pretrained("Arcio/arcio", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download encoder_model.onnx from Arcio/arcio: direct link, hf CLI and curl.
- Browser
- Download file 439 MB
-
https://huggingface.co/Arcio/arcio/resolve/main/encoder_model.onnx
- Command line
-
hf download hf://Arcio/arcio/encoder_model.onnx
-
curl -L -o encoder_model.onnx https://huggingface.co/Arcio/arcio/resolve/main/encoder_model.onnx
439 MB
- Xet hash:
- 159c9905933821582640c25195f7b543d2c494d49b9cab0e2b419b24e8eed648
- Size of remote file:
- 439 MB
- SHA256:
- 59f21228bf45f3d7f695428ffe3d40fe8da1f22f0ed63dfef8b2656ebfb52d79
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