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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fa2935887037706cea6f8176c8db37905f0c8f0cfd39dbd18c299df2832894cf
- Size of remote file:
- 498 MB
- SHA256:
- adfd656074c1de762820156f2235545a10ab3807dc05c6faefa58cb85da8ac35
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