Instructions to use mrm8488/codebert-base-finetuned-stackoverflow-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/codebert-base-finetuned-stackoverflow-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mrm8488/codebert-base-finetuned-stackoverflow-ner")# 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") - Notebooks
- Google Colab
- Kaggle
File size: 213 Bytes
07ea68f | 1 2 3 4 5 6 7 8 | eval_loss = 0.3266788125038147 eval_accuracy_score = 0.9459072431633407 eval_precision = 0.6153047989623865 eval_recall = 0.6325333333333333 eval_f1 = 0.6238001314924391 epoch = 30.0 total_flos = 3982869219571200 |