Instructions to use aieng-lab/codebert-base_requirement-type with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aieng-lab/codebert-base_requirement-type with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aieng-lab/codebert-base_requirement-type")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aieng-lab/codebert-base_requirement-type") model = AutoModelForSequenceClassification.from_pretrained("aieng-lab/codebert-base_requirement-type") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2596928db16fc25729af3397ee52e3d3e03c74a51c89df5c0f6160a558a9a3ed
- Size of remote file:
- 249 MB
- SHA256:
- df193f9da6a3e58699c942aa7c6eada3e94c5d390ccfe212543dc1cc8708a112
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