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-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Laudando-Associates-LLC/d-fine-medium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Laudando-Associates-LLC/d-fine-medium", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Laudando-Associates-LLC/d-fine-medium", trust_remote_code=True) model = AutoModel.from_pretrained("Laudando-Associates-LLC/d-fine-medium", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ebcf406f84174ff94a50fcab8d20ddb8cbd014b30343be57e3ea07d116b92d13
- Size of remote file:
- 314 MB
- SHA256:
- bdec188dc456c400307964a038c5c70568231e44f40846f1af1d55d3a096c703
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