Instructions to use mariiaponom/flan_class_onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mariiaponom/flan_class_onnx with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mariiaponom/flan_class_onnx") model = AutoModelForSeq2SeqLM.from_pretrained("mariiaponom/flan_class_onnx", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f19d86e7558f2fdc39e11269fa7f23f567fc9a16e761f39f116c1d921c366b9d
- Size of remote file:
- 3 GB
- SHA256:
- eba45b1f55ea2fab317d33353d944caa408002a7f878d884044cd09d1a5b654d
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