Instructions to use minhdang/onnx_tran with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use minhdang/onnx_tran with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("minhdang/onnx_tran") model = AutoModelForSeq2SeqLM.from_pretrained("minhdang/onnx_tran", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download decoder_model_quantized.onnx from minhdang/onnx_tran: direct link, hf CLI and curl.
- Browser
- Download file 191 MB
-
https://huggingface.co/minhdang/onnx_tran/resolve/main/decoder_model_quantized.onnx
- Command line
-
hf download hf://minhdang/onnx_tran/decoder_model_quantized.onnx
-
curl -L -o decoder_model_quantized.onnx https://huggingface.co/minhdang/onnx_tran/resolve/main/decoder_model_quantized.onnx
191 MB
- Xet hash:
- 3a859ed739fecedf2bc6a847601161c378ffc459191b59707a14bab95035402f
- Size of remote file:
- 191 MB
- SHA256:
- a1d7bdd37f7437665a927d777c7f087c5afa319032dfdf67f6e77b6f7e0447c2
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