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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 173 Bytes
3074bc6 | 1 2 3 4 5 6 7 8 9 10 | {
"model_type": "bert",
"architectures": [
"BertModel"
],
"checkpoint_step": 800,
"release_track": "risk-floor",
"variant_slug": "risk-floor-release-card"
}
|