Instructions to use alexandrainst/scandi-nli-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alexandrainst/scandi-nli-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="alexandrainst/scandi-nli-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("alexandrainst/scandi-nli-base") model = AutoModelForSequenceClassification.from_pretrained("alexandrainst/scandi-nli-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 09e31b4c171eb505236bf5d44541df1d1e4295f6d739deb2018b274e7b8dce24
- Size of remote file:
- 711 MB
- SHA256:
- eda1ec5924ce54e433b6139417d7a38edc19e6a311c29539087170a2968be421
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