Instructions to use ShengdingHu/lora_t5-base_sst2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShengdingHu/lora_t5-base_sst2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ShengdingHu/lora_t5-base_sst2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 15be22e4acd5fd6c99cbd5058ce84530fbaf16bfea0dca64d1ec8b9af3d28d2e
- Size of remote file:
- 2.63 MB
- SHA256:
- fa5c233cb17a3db97c74a267622e56236682ad6fe0e692a4fc7b5ab112629f72
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