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 decoder_model_merged.onnx from Arcio/arcio: direct link, hf CLI and curl.
- Browser
- Download file 651 MB
-
https://huggingface.co/Arcio/arcio/resolve/main/decoder_model_merged.onnx
- Command line
-
hf download hf://Arcio/arcio/decoder_model_merged.onnx
-
curl -L -o decoder_model_merged.onnx https://huggingface.co/Arcio/arcio/resolve/main/decoder_model_merged.onnx
651 MB
- Xet hash:
- 7d8a0fe67efcabe9c69e0c234453323b88901ded9ddbc6fe4ffb397542791185
- Size of remote file:
- 651 MB
- SHA256:
- 1803757bd6d6d62b3b520beef46f766c5c6c1ce66c3553292e8264bf55c22574
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