Feature Extraction
Transformers
ONNX
Safetensors
miewid
wildlife
computer-vision
re-identification
embedding
conservation
efficientnet
wildbook
custom_code
Instructions to use james-burgess/miewid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use james-burgess/miewid with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="james-burgess/miewid", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("james-burgess/miewid", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle