Instructions to use aieng-lab/codebert-base_sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aieng-lab/codebert-base_sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aieng-lab/codebert-base_sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aieng-lab/codebert-base_sentiment") model = AutoModelForSequenceClassification.from_pretrained("aieng-lab/codebert-base_sentiment") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ad42dcf89679ae9fb7c2601267f868f564328a1bfbff7c39576856471b15c54
- Size of remote file:
- 249 MB
- SHA256:
- c1b64a924c53b0a7b6973b7587de2619c065da73309ae1acdcabc6976a9edd62
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