Instructions to use HiTZ/deberta-base-metaphor-detection-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HiTZ/deberta-base-metaphor-detection-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="HiTZ/deberta-base-metaphor-detection-en")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("HiTZ/deberta-base-metaphor-detection-en") model = AutoModelForTokenClassification.from_pretrained("HiTZ/deberta-base-metaphor-detection-en", device_map="auto") - 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 sha256:4aca17045cdeac1f62e8458e95d3b10cf88b58fb6c6dd73fc93c59a57cb4da2e
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size 735364004
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