Zero-Shot Classification
Transformers
PyTorch
Safetensors
Swedish
megatron-bert
text-classification
swedish
Instructions to use KBLab/megatron-bert-large-swedish-cased-165-zero-shot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KBLab/megatron-bert-large-swedish-cased-165-zero-shot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="KBLab/megatron-bert-large-swedish-cased-165-zero-shot")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KBLab/megatron-bert-large-swedish-cased-165-zero-shot") model = AutoModelForSequenceClassification.from_pretrained("KBLab/megatron-bert-large-swedish-cased-165-zero-shot") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df9dc0c7c317f1483576917c14c21f79417e68083327aeb236dce7eddbcfeb18
- Size of remote file:
- 1.48 GB
- SHA256:
- 306d86689d4e8c5dbb74051b798473e1a704df62f38319b2824a94d4dae19905
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