Instructions to use JeanCGuerrero/practica_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JeanCGuerrero/practica_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="JeanCGuerrero/practica_2")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("JeanCGuerrero/practica_2") model = AutoModelForObjectDetection.from_pretrained("JeanCGuerrero/practica_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 200
Browse files- config.json +2 -2
- model.safetensors +2 -2
- training_args.bin +1 -1
config.json
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{
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"_name_or_path": "facebook/detr-resnet-
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"activation_dropout": 0.0,
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"activation_function": "relu",
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"architectures": [
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"attention_dropout": 0.0,
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"auxiliary_loss": false,
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"backbone": "
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"backbone_config": null,
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"backbone_kwargs": {
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"in_chans": 3,
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{
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"_name_or_path": "facebook/detr-resnet-50",
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"activation_dropout": 0.0,
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"activation_function": "relu",
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"architectures": [
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],
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"attention_dropout": 0.0,
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"auxiliary_loss": false,
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"backbone": "resnet50",
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"backbone_config": null,
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"backbone_kwargs": {
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"in_chans": 3,
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model.safetensors
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training_args.bin
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