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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "model_type": "small_transformer", | |
| "hidden_size": 16, | |
| "num_attention_heads": 1, | |
| "num_hidden_layers": 1, | |
| "vocab_size": 30522, | |
| "param_estimate": 248626 | |
| } |