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b3x0m
/
bert-xomlac-ner

Token Classification
Transformers
PyTorch
Safetensors
Chinese
bert
Model card Files
xet
 Community
3
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="b3x0m/bert-xomlac-ner")
# Load model directly
from transformers import AutoTokenizer, AutoModelForTokenClassification

tokenizer = AutoTokenizer.from_pretrained("b3x0m/bert-xomlac-ner")
model = AutoModelForTokenClassification.from_pretrained("b3x0m/bert-xomlac-ner")
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Too lazy to write something

New fine-tuned version from bert-base-uncased with my own dataset.

val_loss = 0.01966 | val_acc = 0.9811 | f-1 score = 0.91

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Model size
0.1B params
Tensor type
F32
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