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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 522a9ff4271d75a0ebc3656ac1887aeab3df2c9e2ef03156ce261160977be8f2
- Size of remote file:
- 2.74 kB
- SHA256:
- e190f0e7b03ebe0b395f81f0f1d2b6b19070636ff90ffbba9d1c9effffdccc54
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