Zero-Shot Classification
Transformers
Safetensors
English
ultrabert
text-classification
natural-language-inference
nli
tasksource
custom_code
Instructions to use tasksource/UltraBERT-150M-nli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tasksource/UltraBERT-150M-nli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="tasksource/UltraBERT-150M-nli", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tasksource/UltraBERT-150M-nli", trust_remote_code=True) model = AutoModelForSequenceClassification.from_pretrained("tasksource/UltraBERT-150M-nli", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
9 days ago
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UltraBERT-150M-nli: 200k-step multi-task tasksource NLI
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