Instructions to use NorGLM/Entailment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NorGLM/Entailment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NorGLM/Entailment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NorGLM/Entailment") model = AutoModelForSequenceClassification.from_pretrained("NorGLM/Entailment") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6ce58266f67a7ef1f09fbbd2d228a5f999d5937cbf82a0048e7b060d4cbaa2d1
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size 498121828
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