Instructions to use JaySc/Curvion_AI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JaySc/Curvion_AI with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JaySc/Curvion_AI", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse filesRemoved one dataset due to it being synthetic in creation. Only valid data is to be used in the training of this model.
README.md
CHANGED
|
@@ -22,7 +22,6 @@ datasets:
|
|
| 22 |
- open-web-math/open-web-math
|
| 23 |
- easybobLee/variable_gravity_dataset_creation
|
| 24 |
- parlange/dark-energy-survey-supernova
|
| 25 |
-
- darkmatter2222/redact-v1
|
| 26 |
- juliensimon/black-hole-catalog
|
| 27 |
- juliensimon/planck-sz2-clusters
|
| 28 |
- hugging-science/mmu_legacysurvey_dr10_south_21
|
|
|
|
| 22 |
- open-web-math/open-web-math
|
| 23 |
- easybobLee/variable_gravity_dataset_creation
|
| 24 |
- parlange/dark-energy-survey-supernova
|
|
|
|
| 25 |
- juliensimon/black-hole-catalog
|
| 26 |
- juliensimon/planck-sz2-clusters
|
| 27 |
- hugging-science/mmu_legacysurvey_dr10_south_21
|