Instructions to use OliverHeine/google_mobilebert-uncased_fold_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OliverHeine/google_mobilebert-uncased_fold_3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OliverHeine/google_mobilebert-uncased_fold_3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OliverHeine/google_mobilebert-uncased_fold_3") model = AutoModelForSequenceClassification.from_pretrained("OliverHeine/google_mobilebert-uncased_fold_3") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files- config.json +35 -0
- model.safetensors +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +14 -0
- training_args.bin +3 -0
config.json
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{
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"architectures": [
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"MobileBertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_activation": false,
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"classifier_dropout": null,
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"dtype": "float32",
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"embedding_size": 128,
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"hidden_act": "relu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 512,
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"initializer_range": 0.02,
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"intermediate_size": 512,
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"intra_bottleneck_size": 128,
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"key_query_shared_bottleneck": true,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "mobilebert",
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"normalization_type": "no_norm",
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"num_attention_heads": 4,
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"num_feedforward_networks": 4,
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"num_hidden_layers": 24,
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"pad_token_id": 0,
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"problem_type": "single_label_classification",
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"tie_word_embeddings": true,
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"transformers_version": "5.3.0",
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"trigram_input": true,
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"true_hidden_size": 128,
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"type_vocab_size": 2,
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"use_bottleneck": true,
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"use_bottleneck_attention": false,
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"use_cache": false,
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"vocab_size": 30527
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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 sha256:87f43fffbd40d9e6332cedce1e80a99e9722bf14fcccfcc46d5e562600f9951b
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size 98472480
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tokenizer.json
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The diff for this file is too large to render.
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": false,
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"mask_token": "[MASK]",
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"model_max_length": 1000000000000000019884624838656,
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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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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:e9247749e0e6153f779ffe9d07b40ed88e768f6a67878542a37a4dadb885d1b1
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size 5329
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