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Brand066
/
sequence_classification_sendmessage_or_rag

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

Instructions to use Brand066/sequence_classification_sendmessage_or_rag with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Brand066/sequence_classification_sendmessage_or_rag with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Brand066/sequence_classification_sendmessage_or_rag")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Brand066/sequence_classification_sendmessage_or_rag")
    model = AutoModelForSequenceClassification.from_pretrained("Brand066/sequence_classification_sendmessage_or_rag")
  • Notebooks
  • Google Colab
  • Kaggle
sequence_classification_sendmessage_or_rag
269 MB
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  • 1 contributor
History: 3 commits
Brand066's picture
Brand066
Upload tokenizer
a7352f1 verified 7 months ago
  • .gitattributes
    1.52 kB
    initial commit 7 months ago
  • README.md
    5.17 kB
    Upload DistilBertForSequenceClassification 7 months ago
  • config.json
    563 Bytes
    Upload DistilBertForSequenceClassification 7 months ago
  • model.safetensors
    268 MB
    xet
    Upload DistilBertForSequenceClassification 7 months ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer 7 months ago
  • tokenizer.json
    712 kB
    Upload tokenizer 7 months ago
  • tokenizer_config.json
    1.23 kB
    Upload tokenizer 7 months ago
  • vocab.txt
    232 kB
    Upload tokenizer 7 months ago