# Load model directly
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("mrm8488/codebert-base-finetuned-stackoverflow-ner")
model = AutoModelForTokenClassification.from_pretrained("mrm8488/codebert-base-finetuned-stackoverflow-ner")Quick Links
YAML Metadata Error:"datasets[0]" with value "https://aclanthology.org/2020.acl-main.443/" is not valid. If possible, use a dataset id from https://hf.co/datasets.
Codebert (base) fine-tuned this dataset for NER
Eval metrics
eval_accuracy_score = 0.9430622955139325
eval_precision = 0.6047440699126092
eval_recall = 0.6100755667506297
eval_f1 = 0.607398119122257
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mrm8488/codebert-base-finetuned-stackoverflow-ner")