Instructions to use petra345/RobustAwesomeModel-RiskFloorRepo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use petra345/RobustAwesomeModel-RiskFloorRepo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="petra345/RobustAwesomeModel-RiskFloorRepo")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("petra345/RobustAwesomeModel-RiskFloorRepo") model = AutoModel.from_pretrained("petra345/RobustAwesomeModel-RiskFloorRepo") - Notebooks
- Google Colab
- Kaggle
| { | |
| "model_type": "bert", | |
| "architectures": [ | |
| "BertModel" | |
| ], | |
| "checkpoint_step": 800, | |
| "release_track": "risk-floor", | |
| "variant_slug": "risk-floor-release-card" | |
| } | |