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
| This archive is part of the NLPL Word Vectors Repository (http://vectors.nlpl.eu/repository/), version 2.0, published on Friday, December 27, 2019. | |
| Please see the file 'meta.json' in this archive and the overall repository metadata file http://vectors.nlpl.eu/repository/20.json for additional information. | |
| The life-time identifier for this model is: | |
| http://vectors.nlpl.eu/repository/20/221.zip |