Object Detection
PyTorch
TensorBoard
ONNX
Safetensors
Transformers
English
d_fine
feature-extraction
AgTech
custom_code
Eval Results (legacy)
Instructions to use Laudando-Associates-LLC/d-fine-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Laudando-Associates-LLC/d-fine-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Laudando-Associates-LLC/d-fine-large", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Laudando-Associates-LLC/d-fine-large", trust_remote_code=True) model = AutoModel.from_pretrained("Laudando-Associates-LLC/d-fine-large", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b7cdcab0ee66020e6c4983038f383725f8f295ba8b75e1671b64325dc9f7c8d3
- Size of remote file:
- 500 MB
- SHA256:
- b46394ba243f1d2f2b5d0b5c4cf7c450790e734437d36e6d4ef34d03d7cebbe5
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