Instructions to use dima806/vegetable_15_types_image_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dima806/vegetable_15_types_image_detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="dima806/vegetable_15_types_image_detection") 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("dima806/vegetable_15_types_image_detection") model = AutoModelForImageClassification.from_pretrained("dima806/vegetable_15_types_image_detection") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- checkpoint-526/config.json +58 -0
- checkpoint-526/model.safetensors +3 -0
- checkpoint-526/optimizer.pt +3 -0
- checkpoint-526/preprocessor_config.json +22 -0
- checkpoint-526/rng_state.pth +3 -0
- checkpoint-526/scheduler.pt +3 -0
- checkpoint-526/trainer_state.json +46 -0
- checkpoint-526/training_args.bin +3 -0
- config.json +2 -2
- model.safetensors +1 -1
- training_args.bin +2 -2
checkpoint-526/config.json
ADDED
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{
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"_name_or_path": "dima806/vegetable_15_types_image_detection",
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"architectures": [
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"ViTForImageClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"encoder_stride": 16,
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"hidden_act": "gelu",
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| 9 |
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"hidden_dropout_prob": 0.0,
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"hidden_size": 768,
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"id2label": {
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| 12 |
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"0": "Bean",
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"1": "Bitter_Gourd",
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"2": "Bottle_Gourd",
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"3": "Brinjal",
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"4": "Broccoli",
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"5": "Cabbage",
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"6": "Capsicum",
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"7": "Carrot",
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"8": "Cauliflower",
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"9": "Cucumber",
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"10": "Papaya",
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"11": "Potato",
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"12": "Pumpkin",
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"13": "Radish",
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"14": "Tomato"
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},
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"image_size": 224,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"Bean": 0,
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"Bitter_Gourd": 1,
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"Bottle_Gourd": 2,
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"Brinjal": 3,
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"Broccoli": 4,
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| 37 |
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"Cabbage": 5,
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| 38 |
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"Capsicum": 6,
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"Carrot": 7,
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"Cauliflower": 8,
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"Cucumber": 9,
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| 42 |
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"Papaya": 10,
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| 43 |
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"Potato": 11,
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| 44 |
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"Pumpkin": 12,
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| 45 |
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"Radish": 13,
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"Tomato": 14
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},
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"layer_norm_eps": 1e-12,
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"model_type": "vit",
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"num_attention_heads": 12,
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"num_channels": 3,
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"num_hidden_layers": 12,
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"patch_size": 16,
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"problem_type": "single_label_classification",
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"qkv_bias": true,
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"torch_dtype": "float32",
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"transformers_version": "4.38.2"
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}
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checkpoint-526/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:292655317086da6f121caf9079963d88d1747278755c6a2fc16bbf14eec0f93c
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size 343263964
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checkpoint-526/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:78528cdc960b4595a9d1a0d87bb1d06da732ccf39a2ca40caa5c184a931ea3fe
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size 686648325
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checkpoint-526/preprocessor_config.json
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{
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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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0.5,
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0.5,
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0.5
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],
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"image_processor_type": "ViTImageProcessor",
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"image_std": [
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0.5,
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0.5,
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0.5
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],
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"resample": 2,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"height": 224,
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"width": 224
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}
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}
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checkpoint-526/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:fc524c04f39761e9f7c9451d3b08d63aba72bdebf124edd5f0634d0b87ffa30a
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size 14575
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checkpoint-526/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:eba5b5768059eb46e2b6646b84b845c339ba6c6a9190afe09f79b4065db70c2d
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size 627
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checkpoint-526/trainer_state.json
ADDED
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{
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"best_metric": 0.22596770524978638,
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"best_model_checkpoint": "vegetable_15_types_image_detection/checkpoint-526",
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"epoch": 2.0,
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"eval_steps": 500,
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"global_step": 526,
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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| 10 |
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"log_history": [
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{
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"epoch": 1.0,
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+
"eval_accuracy": 0.9997619047619047,
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| 14 |
+
"eval_loss": 0.22884178161621094,
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| 15 |
+
"eval_runtime": 36.2982,
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| 16 |
+
"eval_samples_per_second": 115.708,
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| 17 |
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"eval_steps_per_second": 3.637,
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| 18 |
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"step": 263
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},
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{
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| 21 |
+
"epoch": 1.9,
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| 22 |
+
"grad_norm": 0.4019862711429596,
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| 23 |
+
"learning_rate": 5.46218487394958e-08,
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| 24 |
+
"loss": 0.2177,
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| 25 |
+
"step": 500
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| 26 |
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},
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| 27 |
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{
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"epoch": 2.0,
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| 29 |
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"eval_accuracy": 0.9997619047619047,
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| 30 |
+
"eval_loss": 0.22596770524978638,
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| 31 |
+
"eval_runtime": 36.2664,
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| 32 |
+
"eval_samples_per_second": 115.81,
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| 33 |
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"eval_steps_per_second": 3.64,
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| 34 |
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"step": 526
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}
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| 36 |
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],
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| 37 |
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"logging_steps": 500,
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| 38 |
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"max_steps": 526,
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| 39 |
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"num_input_tokens_seen": 0,
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| 40 |
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"num_train_epochs": 2,
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| 41 |
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"save_steps": 500,
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| 42 |
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"total_flos": 2.604034224458957e+18,
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| 43 |
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"train_batch_size": 64,
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| 44 |
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"trial_name": null,
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| 45 |
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"trial_params": null
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| 46 |
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}
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checkpoint-526/training_args.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:d3ed6a7d03791510a7b77e2c824a97af208afabb7e29ad2d61839cc905d8dbdb
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size 4411
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config.json
CHANGED
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{
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"_name_or_path": "
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"architectures": [
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"ViTForImageClassification"
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],
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"problem_type": "single_label_classification",
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"qkv_bias": true,
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"torch_dtype": "float32",
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-
"transformers_version": "4.
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}
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{
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"_name_or_path": "dima806/vegetable_15_types_image_detection",
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"architectures": [
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"ViTForImageClassification"
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],
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"problem_type": "single_label_classification",
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| 55 |
"qkv_bias": true,
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| 56 |
"torch_dtype": "float32",
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| 57 |
+
"transformers_version": "4.38.2"
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| 58 |
}
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model.safetensors
CHANGED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 343263964
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version https://git-lfs.github.com/spec/v1
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oid sha256:292655317086da6f121caf9079963d88d1747278755c6a2fc16bbf14eec0f93c
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size 343263964
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training_args.bin
CHANGED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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| 1 |
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:d3ed6a7d03791510a7b77e2c824a97af208afabb7e29ad2d61839cc905d8dbdb
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+
size 4411
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