Instructions to use aieng-lab/codebert-base_closed-question with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aieng-lab/codebert-base_closed-question with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aieng-lab/codebert-base_closed-question")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aieng-lab/codebert-base_closed-question") model = AutoModelForSequenceClassification.from_pretrained("aieng-lab/codebert-base_closed-question") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4b19d19281bde9f098d968aa27b9f2b407a3def846fcebabeeb46c061114db00
- Size of remote file:
- 249 MB
- SHA256:
- a58f6e50e0372ee0f7ee0b9c1a74a51e23fe4853eecc693d0410bcdb4f14f8a7
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