Instructions to use hanungaddi/absa_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hanungaddi/absa_4 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hanungaddi/absa_4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 643d97c2752833c1343bac405122553a380fb9e62246098f0f9805ffd6e4c45f
- Size of remote file:
- 142 Bytes
- SHA256:
- a14d9ea2ca1517feae603ff620e3d64b81f801d65009f5acb3ab1022fc60a560
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.