Instructions to use petra345/StabilityFrontier-ModelRepo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use petra345/StabilityFrontier-ModelRepo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="petra345/StabilityFrontier-ModelRepo")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("petra345/StabilityFrontier-ModelRepo") model = AutoModel.from_pretrained("petra345/StabilityFrontier-ModelRepo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 136 Bytes
b23a2a5 | 1 2 3 4 5 6 7 8 9 | {
"model_type": "bert",
"architectures": [
"BertModel"
],
"checkpoint_step": 800,
"release_track": "stability-frontier"
}
|