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obieqewe
/
vdedwvew

Text Classification
Transformers
PyTorch
JAX
ONNX
sentiment-analysis
text-generation
translation
summarization
question-answering
token-classification
image-classification
speech-recognition
audio-classification
bert
gpt-2
t5
roberta
xlm-roberta
distilbert
electra
tensorflow
text
image
audio
multimodal
apache-2.0
few-shot-learning
zero-shot-classification
conversational
fill-mask
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use obieqewe/vdedwvew with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="obieqewe/vdedwvew")
    messages = [
        {"role": "user", "content": "Who are you?"},
    ]
    pipe(messages)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("obieqewe/vdedwvew", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
vdedwvew
8.96 kB
Ctrl+K
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  • 1 contributor
History: 5 commits
obieqewe's picture
obieqewe
Update README.md
e13b926 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    7.45 kB
    Update README.md about 1 year ago