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Browse files- README.md +35 -0
- config.json +37 -0
- model.safetensors +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +14 -0
README.md
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# PRV AI 1.0
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## Model Description
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PRV AI 1.0 is a lightweight and efficient AI model designed for
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natural language processing tasks.
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## Model Details
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- **Model Name:** PRV AI 1.0
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- **Version:** 1.0
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- **Parameters:** 24.5 Million
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- **Developed by:** PRV
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- **Language:** English
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- **License:** Apache 2.0
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## What Can PRV AI 1.0 Do?
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- Text Classification
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- Sentiment Analysis
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- Question Answering
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- Named Entity Recognition
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## How to Use
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```python
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from transformers import MobileBertTokenizer, MobileBertModel
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tokenizer = MobileBertTokenizer.from_pretrained("PRV/PRV-AI-1.0")
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model = MobileBertModel.from_pretrained("PRV/PRV-AI-1.0")
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```
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## Base Model
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PRV AI 1.0 is built on top of MobileBERT by Google Research.
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Original model: google/mobilebert-uncased
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## License
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This model is licensed under the Apache 2.0 License.
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Original MobileBERT credit goes to Google Research.
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config.json
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{
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"_name_or_path": "PRV AI 1.0",
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"architectures": [
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"MobileBertModel"
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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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"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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"vocab_size": 30522,
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"model_name": "PRV AI 1.0",
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"model_version": "1.0",
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"developed_by": "PRV"
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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 sha256:1ca888bce8804b61c3ba99b5a8e847f3d3628d52ef6cc758ea4c7508b9697c18
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size 98453448
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tokenizer.json
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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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