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cshin23
/
multidim-rm_reg_gating_prototype

Text Classification
Transformers
Safetensors
distilbert
pytorch_model_hub_mixin
model_hub_mixin
custom_code
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use cshin23/multidim-rm_reg_gating_prototype with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use cshin23/multidim-rm_reg_gating_prototype with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="cshin23/multidim-rm_reg_gating_prototype", trust_remote_code=True)
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("cshin23/multidim-rm_reg_gating_prototype", trust_remote_code=True)
    model = AutoModelForSequenceClassification.from_pretrained("cshin23/multidim-rm_reg_gating_prototype", trust_remote_code=True)
  • Notebooks
  • Google Colab
  • Kaggle
multidim-rm_reg_gating_prototype
276 MB
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  • 1 contributor
History: 61 commits
cshin23's picture
cshin23
Push model using huggingface_hub.
aa046f9 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    320 Bytes
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  • config.json
    918 Bytes
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  • model.safetensors
    275 MB
    xet
    Push model using huggingface_hub. almost 2 years ago
  • modeling_custom.py
    1.11 kB
    Create modeling_custom.py almost 2 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer almost 2 years ago
  • tokenizer.json
    711 kB
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  • tokenizer_config.json
    1.42 kB
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  • vocab.txt
    232 kB
    Upload tokenizer almost 2 years ago