Instructions to use climatebert/renewable with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use climatebert/renewable with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="climatebert/renewable")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("climatebert/renewable") model = AutoModelForSequenceClassification.from_pretrained("climatebert/renewable") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aeae1d595bcf7d60de4c3515d7509ad63face76f72f04745814572feaa439a10
- Size of remote file:
- 329 MB
- SHA256:
- 61f8c18caa9237d64300f3a52ebc1cfc28ff58e3b62c3e646d4ab00a9dfb14ef
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