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
- Xet hash:
- f9b6262bd1eefd3fed7451e954b8077d0ccb724c3dae897522b6488d4cac5ee9
- Size of remote file:
- 496 MB
- SHA256:
- 465077edb376c0ea6791c5a9b9520614559e0b70773efdb1409baa8726e155b8
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