Instructions to use DataMuncher-Labs/SC-100k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DataMuncher-Labs/SC-100k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DataMuncher-Labs/SC-100k")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DataMuncher-Labs/SC-100k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "embed_dim": 8, | |
| "d_model": 16, | |
| "nhead": 1, | |
| "num_layers": 1, | |
| "dim_feedforward": 32, | |
| "params": 248626, | |
| "diff": 148626 | |
| } |