Instructions to use DataMuncher-Labs/SC-900k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DataMuncher-Labs/SC-900k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DataMuncher-Labs/SC-900k")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DataMuncher-Labs/SC-900k", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "embed_dim": 24, | |
| "d_model": 96, | |
| "nhead": 1, | |
| "num_layers": 2, | |
| "dim_feedforward": 192, | |
| "params": 896978, | |
| "diff": 3022 | |
| } |