Instructions to use ArthurZ/d3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArthurZ/d3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="ArthurZ/d3")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ArthurZ/d3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 366 Bytes
e312736 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | {
"dtype": "bfloat16",
"hidden_size": 5120,
"initializer_range": 0.02,
"model_type": "jev",
"num_verbalizers": 255,
"offsets": {
"choice": 0,
"noul": 0,
"score": 0
},
"question_types": [
"noul",
"choice",
"score"
],
"softcap": null,
"transformers_version": "5.19.0.dev0",
"transformers_weights": "model.safetensors"
}
|