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:
- 6c34c5b741ffa0e591ba8c0c94175bb20ec2f0e67c8396ffa0c95b03c9807cce
- Size of remote file:
- 3.31 kB
- SHA256:
- db694375f124bbb1c393afb707c7c4d3a138aa21cb4010acc9c4fe6639410467
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