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elisachen
/
awq-tinyllama-classification

Text Classification
Transformers
Safetensors
llama
text-embeddings-inference
4-bit precision
awq
Model card Files Files and versions
xet
Community
1

Instructions to use elisachen/awq-tinyllama-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use elisachen/awq-tinyllama-classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="elisachen/awq-tinyllama-classification")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("elisachen/awq-tinyllama-classification")
    model = AutoModelForSequenceClassification.from_pretrained("elisachen/awq-tinyllama-classification")
  • Notebooks
  • Google Colab
  • Kaggle
awq-tinyllama-classification
637 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 4 commits
elisachen's picture
elisachen
zhanyil2's picture
zhanyil2
Upload 4 files (#1)
6b6805e verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    20 Bytes
    initial commit about 2 years ago
  • config.json
    1.32 kB
    Upload LlamaForSequenceClassification about 2 years ago
  • model.safetensors
    635 MB
    xet
    Upload LlamaForSequenceClassification about 2 years ago
  • special_tokens_map.json
    437 Bytes
    Upload 4 files (#1) about 2 years ago
  • tokenizer.json
    1.84 MB
    Upload 4 files (#1) about 2 years ago
  • tokenizer.model
    500 kB
    xet
    Upload 4 files (#1) about 2 years ago
  • tokenizer_config.json
    920 Bytes
    Upload 4 files (#1) about 2 years ago