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") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:1a6dbe16c9f6581b7873c05b31f171da3b56616c1a0a1324df68d846f180f49a
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size 1112912924
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