Instructions to use aieng-lab/codebert-base_se-entities with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aieng-lab/codebert-base_se-entities with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="aieng-lab/codebert-base_se-entities")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("aieng-lab/codebert-base_se-entities") model = AutoModelForTokenClassification.from_pretrained("aieng-lab/codebert-base_se-entities", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bd49d0fab790505352ff647461fc8faa4b68e68ebb66ba0ce5d1949bb8d19bbd
- Size of remote file:
- 248 MB
- SHA256:
- 8caf3420c30ec0b789bb109e9c0c6b4473f641ec1a3357c54f3c1cba7e4b87b9
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