Instructions to use j-hartmann/concreteness-english-distilroberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use j-hartmann/concreteness-english-distilroberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="j-hartmann/concreteness-english-distilroberta-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("j-hartmann/concreteness-english-distilroberta-base") model = AutoModelForSequenceClassification.from_pretrained("j-hartmann/concreteness-english-distilroberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
"Concreteness evaluates the degree to which the concept denoted by a word refers to a perceptible entity." (Brysbaert, Warriner, and Kuperman 2014, p. 904)
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