Update tiny models for ViltForQuestionAnswering
Browse files- config.json +40 -0
- model.safetensors +3 -0
- preprocessor_config.json +28 -0
- tokenizer.json +0 -0
- tokenizer_config.json +15 -0
config.json
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{
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"architectures": [
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"ViltForQuestionAnswering"
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],
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"attention_probs_dropout_prob": 0.1,
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"dtype": "float32",
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 32,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2"
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},
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"image_size": 30,
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"initializer_range": 0.02,
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"intermediate_size": 37,
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"is_decoder": false,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_2": 2
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},
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"layer_norm_eps": 1e-12,
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"max_image_length": -1,
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"max_position_embeddings": 512,
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"modality_type_vocab_size": 2,
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"model_type": "vilt",
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"num_attention_heads": 4,
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"num_channels": 3,
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"num_hidden_layers": 2,
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"num_images": -1,
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"pad_token_id": null,
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"patch_size": 2,
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"qkv_bias": true,
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"tie_word_embeddings": true,
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"transformers_version": "5.16.0.dev0",
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"type_vocab_size": 16,
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"vocab_size": 30522
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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 sha256:49e97adca08e8e89a69530b704408a971fbe8f0a6fb3fc026780c9c60cebacbb
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size 4079732
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preprocessor_config.json
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{
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"crop_size": {
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"longest_edge": 30,
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"shortest_edge": 30
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},
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"do_normalize": true,
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"do_pad": 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": "ViltImageProcessor",
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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": 3,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"longest_edge": 30,
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"shortest_edge": 30
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},
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"size_divisor": 32
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}
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tokenizer.json
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See raw diff
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tokenizer_config.json
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{
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"backend": "tokenizers",
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"cls_token": "[CLS]",
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"do_lower_case": true,
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"is_local": true,
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"local_files_only": false,
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"mask_token": "[MASK]",
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"model_max_length": 512,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "BertTokenizer",
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"unk_token": "[UNK]"
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}
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