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severo
/
autonlp-sentiment_detection-1781580

Text Classification
Transformers
PyTorch
Safetensors
English
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use severo/autonlp-sentiment_detection-1781580 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use severo/autonlp-sentiment_detection-1781580 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="severo/autonlp-sentiment_detection-1781580")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("severo/autonlp-sentiment_detection-1781580")
    model = AutoModelForSequenceClassification.from_pretrained("severo/autonlp-sentiment_detection-1781580")
  • Notebooks
  • Google Colab
  • Kaggle
autonlp-sentiment_detection-1781580
877 MB
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  • 3 contributors
History: 5 commits
severo's picture
severo HF Staff
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
e6b4395 almost 3 years ago
  • .gitattributes
    786 Bytes
    Adding `safetensors` variant of this model (#1) almost 3 years ago
  • README.md
    1.14 kB
    Update README.md almost 5 years ago
  • config.json
    818 Bytes
    Commit From AutoNLP almost 5 years ago
  • model.safetensors
    438 MB
    xet
    Adding `safetensors` variant of this model (#1) almost 3 years ago
  • pytorch_model.bin
    438 MB
    xet
    Commit From AutoNLP almost 5 years ago
  • sample_input.pkl
    7.46 kB
    xet
    Commit From AutoNLP almost 5 years ago
  • special_tokens_map.json
    112 Bytes
    Commit From AutoNLP almost 5 years ago
  • tokenizer.json
    466 kB
    Commit From AutoNLP almost 5 years ago
  • tokenizer_config.json
    275 Bytes
    Commit From AutoNLP almost 5 years ago
  • vocab.txt
    232 kB
    Commit From AutoNLP almost 5 years ago