Instructions to use vuongnhathien/test-more-augment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vuongnhathien/test-more-augment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="vuongnhathien/test-more-augment") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("vuongnhathien/test-more-augment") model = AutoModelForImageClassification.from_pretrained("vuongnhathien/test-more-augment") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files
config.json
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{
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"_name_or_path": "facebook/convnextv2-base-22k-384",
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"architectures": [
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"ConvNextV2ForImageClassification"
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],
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"depths": [
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3,
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3,
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27,
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3
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],
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"drop_path_rate": 0.0,
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"hidden_act": "gelu",
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"hidden_sizes": [
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128,
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256,
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512,
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1024
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],
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"id2label": {
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"0": "aechmea_fasciata",
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"1": "agave_americana",
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"2": "agave_attenuata",
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"3": "agave_tequilana",
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"4": "aglaonema_commutatum",
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"5": "albuca_spiralis",
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"6": "allium_cepa",
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"7": "allium_sativum"
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},
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"image_size": 224,
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"initializer_range": 0.02,
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"label2id": {
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"aechmea_fasciata": 0,
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"agave_americana": 1,
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"agave_attenuata": 2,
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"agave_tequilana": 3,
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"aglaonema_commutatum": 4,
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"albuca_spiralis": 5,
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"allium_cepa": 6,
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"allium_sativum": 7
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},
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"layer_norm_eps": 1e-12,
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"model_type": "convnextv2",
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"num_channels": 3,
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"num_stages": 4,
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"out_features": [
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"stage4"
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],
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"out_indices": [
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4
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],
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"patch_size": 4,
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"problem_type": "single_label_classification",
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"stage_names": [
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"stem",
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"stage1",
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"stage2",
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"stage3",
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"stage4"
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],
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"torch_dtype": "float32",
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"transformers_version": "4.39.3"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6a112ca4c1048fb18fc961de76ad495c57b622e90a97e4ed145ef395c99dc055
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size 350850048
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preprocessor_config.json
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{
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"_valid_processor_keys": [
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"images",
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"do_resize",
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"size",
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"crop_pct",
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"resample",
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"do_rescale",
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"rescale_factor",
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"do_normalize",
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"image_mean",
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"image_std",
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"return_tensors",
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"data_format",
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"input_data_format"
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],
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"crop_pct": 0.875,
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"image_mean": [
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0.485,
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0.456,
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0.406
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],
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"image_processor_type": "ConvNextImageProcessor",
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"image_std": [
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0.229,
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0.224,
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0.225
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],
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"resample": 3,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"shortest_edge": 384
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}
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}
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runs/May27_15-14-40_4d09579d5f24/events.out.tfevents.1716822888.4d09579d5f24.34.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:06c83fdbf12af2c356f9d9806f8672241fc6710176c0a60ed1f53d0a9166a8a5
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size 5431
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:1ff30b464eb6bf370021f765eafe796e406115f3bbc28c0398643cebdb3d845a
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size 4920
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