Instructions to use HanClinto/CollectorVision with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- CollectorVision
How to use HanClinto/CollectorVision with CollectorVision:
pip install git+https://github.com/HanClinto/CollectorVision huggingface_hub
from huggingface_hub import hf_hub_download import collector_vision as cvg checkpoint = hf_hub_download(repo_id="HanClinto/CollectorVision", filename="model.onnx") # Detector models, such as Cornelius: detector = cvg.NeuralCornerDetector(checkpoint) # Embedder models, such as Milo: embedder = cvg.NeuralEmbedder(checkpoint)
- Notebooks
- Google Colab
- Kaggle
Promote fastweb-single 1.39 to stable family channel
Browse files- registry.json +2 -1
registry.json
CHANGED
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@@ -3,6 +3,7 @@
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"channels": {
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"stable": {
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"cornelius": "cornelius-2.12",
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"milo": "milo-1.0.0"
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},
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"testing": {
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@@ -47,7 +48,7 @@
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"fastweb-single-0.1.0": {
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"family": "fastweb-single",
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"version": "0.1.0",
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-
"channel": "testing",
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"codename": "corndog",
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"codename_version": "2.12",
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"task": "corner-detection",
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"channels": {
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"stable": {
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"cornelius": "cornelius-2.12",
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+
"fastweb-single": "fastweb-single-1.39",
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"milo": "milo-1.0.0"
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},
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"testing": {
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| 48 |
"fastweb-single-0.1.0": {
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"family": "fastweb-single",
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"version": "0.1.0",
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+
"channel": "stable+testing",
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"codename": "corndog",
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"codename_version": "2.12",
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"task": "corner-detection",
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