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mahir2021
/
mental-bert-bilstm-depemo2

Feature Extraction
Transformers
Safetensors
bert
mental-health
multi-label
mental-bert-base-uncased
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use mahir2021/mental-bert-bilstm-depemo2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mahir2021/mental-bert-bilstm-depemo2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="mahir2021/mental-bert-bilstm-depemo2")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("mahir2021/mental-bert-bilstm-depemo2")
    model = AutoModel.from_pretrained("mahir2021/mental-bert-bilstm-depemo2", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
mental-bert-bilstm-depemo2
448 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
mahir2021's picture
mahir2021
Upload Mental-BERT + BiLSTM
40c25b8 verified 13 days ago
  • .gitattributes
    1.52 kB
    initial commit 13 days ago
  • README.md
    1.72 kB
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  • config.json
    746 Bytes
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  • custom_config.json
    141 Bytes
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  • custom_head.bin
    9.48 MB
    xet
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  • emotion_mapping.json
    638 Bytes
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  • hyperparameters.json
    208 Bytes
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  • model.safetensors
    438 MB
    xet
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  • per_label_report.csv
    632 Bytes
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  • split_indices.json
    59.3 kB
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  • test_results.json
    556 Bytes
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  • tokenizer.json
    711 kB
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  • tokenizer_config.json
    351 Bytes
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  • training_log.json
    1.19 kB
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