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wandb
/
celadon

Text Classification
Transformers
Safetensors
multi-head-deberta-for-sequence-classification
custom_code
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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("text-classification", model="wandb/celadon", trust_remote_code=True)
# Load model directly
from transformers import AutoModelForSequenceClassification
model = AutoModelForSequenceClassification.from_pretrained("wandb/celadon", trust_remote_code=True, dtype="auto")
Quick Links

PleIAs/celadon

Same model, just packed as a transformers model than you can load with:

from transformers import AutoModelForSequenceClassification

AutoModelForSequenceClassification.from_pretrained("tcapelle/celadon", trust_remote_code=True)
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0.1B params
Tensor type
F32
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