How to use b3x0m/bert-xomlac-ner with Transformers:
# 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")
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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