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BSC-LT
/
sciroshot

Zero-Shot Classification
Transformers
PyTorch
English
roberta
text-classification
zero-shot
science
mag
Model card Files Files and versions
xet
Community
4

Instructions to use BSC-LT/sciroshot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use BSC-LT/sciroshot with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-classification", model="BSC-LT/sciroshot")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("BSC-LT/sciroshot")
    model = AutoModelForSequenceClassification.from_pretrained("BSC-LT/sciroshot")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Adding `safetensors` variant of this model

#4 opened over 1 year ago by
SFconvertbot

Problems due to the model having no predefined "max_length".

2
#3 opened about 2 years ago by
singlewaver

Adding `safetensors` variant of this model

#2 opened almost 3 years ago by
SFconvertbot

Adding `safetensors` variant of this model

#1 opened about 3 years ago by
SFconvertbot
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