Instructions to use martingrzzler/clip-word-concreteness with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use martingrzzler/clip-word-concreteness with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="martingrzzler/clip-word-concreteness")# Load model directly from transformers import AutoTokenizer, CLIPForRegression tokenizer = AutoTokenizer.from_pretrained("martingrzzler/clip-word-concreteness") model = CLIPForRegression.from_pretrained("martingrzzler/clip-word-concreteness", device_map="auto") - Notebooks
- Google Colab
- Kaggle
metadata
datasets:
- martingrzzler/conreteness_ratings
language:
- en
metrics:
- pearsonr
pipeline_tag: text-classification
tags:
- psycholinguistic
- word concreteness