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anggars
/
emotive-sentiment

Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use anggars/emotive-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use anggars/emotive-sentiment with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="anggars/emotive-sentiment")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("anggars/emotive-sentiment")
    model = AutoModelForSequenceClassification.from_pretrained("anggars/emotive-sentiment", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle

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Preview of files found in this repository
  • .gitattributes
    1.57 kB
    Training in progress, epoch 1 7 months ago
  • README.md
    1.54 kB
    End of training 6 months ago
  • config.json
    2 kB
    Upload config 6 months ago
  • merges.txt
    456 kB
    Training in progress, epoch 1 8 months ago
  • model.safetensors
    1.11 GB
    xet
    Training in progress, epoch 4 6 months ago
  • special_tokens_map.json
    280 Bytes
    Training in progress, epoch 1 8 months ago
  • tokenizer.json
    16.8 MB
    xet
    Training in progress, epoch 1 7 months ago
  • tokenizer_config.json
    314 Bytes
    Training in progress, epoch 1 7 months ago
  • training_args.bin
    5.2 kB
    xet
    Training in progress, epoch 1 6 months ago
  • vocab.json
    798 kB
    Training in progress, epoch 1 8 months ago