Instructions to use wangyichen25/medgemma-4b-it-sft-lora-hyperkvasir with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wangyichen25/medgemma-4b-it-sft-lora-hyperkvasir with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("wangyichen25/medgemma-4b-it-sft-lora-hyperkvasir", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- checkpoint-100
- checkpoint-120
- checkpoint-150
- checkpoint-160
- checkpoint-200
- checkpoint-240
- checkpoint-250
- checkpoint-280
- checkpoint-300
- checkpoint-320
- checkpoint-350
- checkpoint-360
- checkpoint-40
- checkpoint-400
- checkpoint-440
- checkpoint-450
- checkpoint-480
- checkpoint-481
- checkpoint-50
- checkpoint-80
- 2.89 kB
- 1.75 kB
- 1.01 kB
- 2.84 GB xet
- 35 Bytes
- 1.53 kB
- 570 Bytes
- 70 Bytes
- 662 Bytes
- 33.4 MB xet
- 4.69 MB xet
- 1.16 MB
- 6.35 kB xet