Text Classification
Transformers
PyTorch
Chinese
bert
Argument_Type_Bert
zh-tw
Generated from Trainer
text-embeddings-inference
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("theta/Argument_Type_Bert")
model = AutoModelForSequenceClassification.from_pretrained("theta/Argument_Type_Bert")Quick Links
這邊是開發分支，不穩定。
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="theta/Argument_Type_Bert")