Instructions to use typeform/squeezebert-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use typeform/squeezebert-mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="typeform/squeezebert-mnli")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("typeform/squeezebert-mnli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| language: en | |
| pipeline_tag: zero-shot-classification | |
| tags: | |
| - squeezebert | |
| datasets: | |
| - mulit_nli | |
| metrics: | |
| - accuracy | |
| # SqueezeBERT |