Instructions to use CreativeLang/novel_metaphors with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CreativeLang/novel_metaphors with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="CreativeLang/novel_metaphors")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("CreativeLang/novel_metaphors") model = AutoModelForTokenClassification.from_pretrained("CreativeLang/novel_metaphors", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e39a30a3d5b931f2b2512d7739ec9050ff93841d19d316fc85376a5eb9a48b33
- Size of remote file:
- 496 MB
- SHA256:
- 861611f4950e02c3b5bdbb71a511cde20dd89261331134af45eeabad39cb5ad1
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