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Web4
/
LS-W4-T5-SM-Emotions

Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
emotion-classification
flan-t5
linkspreed
web4-ai
text-generation-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use Web4/LS-W4-T5-SM-Emotions with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Web4/LS-W4-T5-SM-Emotions with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Web4/LS-W4-T5-SM-Emotions")
    model = AutoModelForSeq2SeqLM.from_pretrained("Web4/LS-W4-T5-SM-Emotions", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle

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Preview of files found in this repository
  • runs
    LS-W4-T5-SM-Emotions 11 months ago
  • .gitattributes
    1.52 kB
    initial commit 11 months ago
  • README.md
    2.47 kB
    Update README.md 11 months ago
  • config.json
    1.51 kB
    LS-W4-T5-SM-Emotions 11 months ago
  • generation_config.json
    152 Bytes
    LS-W4-T5-SM-Emotions 11 months ago
  • model.safetensors
    308 MB
    xet
    LS-W4-T5-SM-Emotions 11 months ago
  • special_tokens_map.json
    2.54 kB
    LS-W4-T5-SM-Emotions 11 months ago
  • spiece.model
    792 kB
    xet
    LS-W4-T5-SM-Emotions 11 months ago
  • tokenizer.json
    2.42 MB
    LS-W4-T5-SM-Emotions 11 months ago
  • tokenizer_config.json
    20.8 kB
    LS-W4-T5-SM-Emotions 11 months ago
  • training_args.bin
    5.78 kB
    xet
    LS-W4-T5-SM-Emotions 11 months ago