Instructions to use Amin-Saeidi/Cause_Effect_Detection_persian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Amin-Saeidi/Cause_Effect_Detection_persian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Amin-Saeidi/Cause_Effect_Detection_persian")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Amin-Saeidi/Cause_Effect_Detection_persian") model = AutoModelForTokenClassification.from_pretrained("Amin-Saeidi/Cause_Effect_Detection_persian") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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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 sha256:9c85dfd3414b18f1a2bf77abfdf84372e6908253bcc7bce9083efa670b1bc5fa
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size 649045932
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