Zero-Shot Classification
Transformers
PyTorch
English
roberta
text-classification
zero-shot
science
mag
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
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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oid sha256:70bc751be72166dede5fd40ffa502d0eb1a7f6b5984b21b87daf5c72dd8d322f
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size 1421499616
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