Instructions to use gao-huggingface/T5-IDX-Descriptor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gao-huggingface/T5-IDX-Descriptor with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gao-huggingface/T5-IDX-Descriptor") model = AutoModelForSeq2SeqLM.from_pretrained("gao-huggingface/T5-IDX-Descriptor", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1f4202931cf937e5a143a747bb73d7807f5e1552f877d5af2321fa7435e4d5ba
- Size of remote file:
- 892 MB
- SHA256:
- b5279e3e50e30f209b8109de58e5511d59c54994c807c0db9bcbff13671b9112
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