Instructions to use HiTZ/mdeberta-base-metaphor-detection-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HiTZ/mdeberta-base-metaphor-detection-es with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="HiTZ/mdeberta-base-metaphor-detection-es")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("HiTZ/mdeberta-base-metaphor-detection-es") model = AutoModelForTokenClassification.from_pretrained("HiTZ/mdeberta-base-metaphor-detection-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e9c30047940e62a5ffab826879ee4dc73f510740e261bebeba0e14b147e816d
- Size of remote file:
- 1.11 GB
- SHA256:
- 12840fe87dd6b685f874c76b92d3acb08f689d7a00d6bc39b8fc08597700ecff
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