Instructions to use dusersad12/BestSweepModel-TestRepo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dusersad12/BestSweepModel-TestRepo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dusersad12/BestSweepModel-TestRepo")# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("dusersad12/BestSweepModel-TestRepo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "model_type": "deberta-v3", | |
| "architectures": ["DebertaV3ForSequenceClassification"], | |
| "hidden_size": 768, | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12 | |
| } |