Instructions to use Mattysmittttt/camonet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mattysmittttt/camonet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Mattysmittttt/camonet") 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("Mattysmittttt/camonet") model = AutoModelForImageClassification.from_pretrained("Mattysmittttt/camonet") - Notebooks
- Google Colab
- Kaggle
prune intermediate checkpoint-664 (optimizer state, not needed for inference)
Browse files- checkpoint-664/config.json +0 -134
- checkpoint-664/model.safetensors +0 -3
- checkpoint-664/optimizer.pt +0 -3
- checkpoint-664/rng_state.pth +0 -3
- checkpoint-664/scheduler.pt +0 -3
- checkpoint-664/trainer_state.json +0 -345
- checkpoint-664/training_args.bin +0 -3
checkpoint-664/config.json
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{
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"apply_layernorm": true,
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"architectures": [
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"Dinov2ForImageClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"drop_path_rate": 0.0,
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"dtype": "float32",
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 384,
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"id2label": {
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"0": "us_erdl",
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"1": "us_m81_woodland",
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"2": "us_dcu_chocolate_chip",
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"3": "us_dcu_3color",
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"4": "us_marpat_woodland",
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"5": "us_marpat_desert",
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"6": "us_ucp",
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"7": "us_multicam",
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"8": "us_ocp_scorpion",
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"9": "us_aor1",
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"10": "us_aor2",
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"11": "us_tigerstripe",
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"12": "uk_dpm_woodland",
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"13": "uk_dpm_desert",
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"14": "uk_mtp",
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"15": "de_flecktarn",
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"16": "de_tropentarn",
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"17": "de_splittertarn",
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"18": "ru_klmk",
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"19": "ru_ttsko",
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"20": "ru_vsr_93",
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"21": "ru_emr_digital_flora",
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"22": "ru_surpat",
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"23": "ru_partizan",
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"24": "ca_cadpat_tw",
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"25": "ca_cadpat_ar",
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"26": "fr_cce",
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"27": "fr_daguet",
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"28": "it_vegetata",
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"29": "au_auscam",
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"30": "au_amcu",
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"31": "se_m90",
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"32": "ch_taz_90",
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"33": "no_m75",
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"34": "cn_type07_universal",
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"35": "cn_type07_desert",
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"36": "kr_granite",
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"37": "jp_jgsdf",
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"38": "commercial_kryptek_mandrake",
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"39": "commercial_atacs_au"
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},
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"image_size": 518,
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"initializer_range": 0.02,
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"label2id": {
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"au_amcu": 30,
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"au_auscam": 29,
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"ca_cadpat_ar": 25,
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"ca_cadpat_tw": 24,
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"ch_taz_90": 32,
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"cn_type07_desert": 35,
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"cn_type07_universal": 34,
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"commercial_atacs_au": 39,
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"commercial_kryptek_mandrake": 38,
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"de_flecktarn": 15,
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"de_splittertarn": 17,
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"de_tropentarn": 16,
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"fr_cce": 26,
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"fr_daguet": 27,
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"it_vegetata": 28,
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"jp_jgsdf": 37,
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"kr_granite": 36,
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"no_m75": 33,
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"ru_emr_digital_flora": 21,
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"ru_klmk": 18,
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"ru_partizan": 23,
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"ru_surpat": 22,
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"ru_ttsko": 19,
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"ru_vsr_93": 20,
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"se_m90": 31,
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"uk_dpm_desert": 13,
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"uk_dpm_woodland": 12,
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"uk_mtp": 14,
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"us_aor1": 9,
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"us_aor2": 10,
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"us_dcu_3color": 3,
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"us_dcu_chocolate_chip": 2,
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"us_erdl": 0,
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"us_m81_woodland": 1,
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"us_marpat_desert": 5,
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"us_marpat_woodland": 4,
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"us_multicam": 7,
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"us_ocp_scorpion": 8,
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"us_tigerstripe": 11,
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"us_ucp": 6
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},
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"layer_norm_eps": 1e-06,
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"layerscale_value": 1.0,
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"mlp_ratio": 4,
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"model_type": "dinov2",
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"num_attention_heads": 6,
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"num_channels": 3,
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"num_hidden_layers": 12,
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"out_features": [
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"stage12"
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],
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"out_indices": [
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12
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],
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"patch_size": 14,
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"problem_type": "single_label_classification",
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"qkv_bias": true,
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"reshape_hidden_states": true,
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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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"stage5",
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"stage6",
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"stage7",
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"stage8",
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"stage9",
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"stage10",
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"stage11",
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"stage12"
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],
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"transformers_version": "5.7.0",
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"use_cache": false,
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"use_mask_token": true,
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"use_swiglu_ffn": false
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}
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checkpoint-664/model.safetensors
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checkpoint-664/optimizer.pt
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checkpoint-664/rng_state.pth
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checkpoint-664/scheduler.pt
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checkpoint-664/trainer_state.json
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