# Load model directly
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("hfeng/bert_base_uncased_conll2003")
model = AutoModelForTokenClassification.from_pretrained("hfeng/bert_base_uncased_conll2003")Quick Links
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Check out the documentation for more information.
BERT base model (uncased) fine-tuned on CoNLL-2003
This model was trained following the PyTorch token-classification example from Hugging Face: https://github.com/huggingface/transformers/tree/master/examples/pytorch/token-classification.
There were no tweaks to the model or dataset.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hfeng/bert_base_uncased_conll2003")