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pdjohn
/
C-BERT-Zero

Token Classification
Transformers
Safetensors
bert
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xet
 Community
How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("token-classification", model="pdjohn/C-BERT-Zero")
# Load model directly
from transformers import AutoTokenizer, AutoModelForTokenClassification

tokenizer = AutoTokenizer.from_pretrained("pdjohn/C-BERT-Zero")
model = AutoModelForTokenClassification.from_pretrained("pdjohn/C-BERT-Zero", device_map="auto")
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CBERT-Zero

A prototype to extract Causal Roles (CAUSE, EFFECT and INDICATOR) in German Sentences.

Notice: A newer model with relation classification is available here.

Details

Model Description

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F32
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