Instructions to use ncsu-dk-lab/AutoDisProxyT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ncsu-dk-lab/AutoDisProxyT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ncsu-dk-lab/AutoDisProxyT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ncsu-dk-lab/AutoDisProxyT") model = AutoModelForMaskedLM.from_pretrained("ncsu-dk-lab/AutoDisProxyT") - Notebooks
- Google Colab
- Kaggle
| {"num_hidden_layers": 7, "num_attention_heads": 10, "hidden_size": 160, "intermediate_size": 560, "embedding_size": 160} |