Instructions to use DataMuncher-Labs/SC-800k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DataMuncher-Labs/SC-800k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DataMuncher-Labs/SC-800k")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DataMuncher-Labs/SC-800k", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "embed_dim": 24, | |
| "d_model": 48, | |
| "nhead": 1, | |
| "num_layers": 3, | |
| "dim_feedforward": 96, | |
| "params": 796850, | |
| "diff": 3150 | |
| } |