Instructions to use climatebert/netzero-reduction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use climatebert/netzero-reduction with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="climatebert/netzero-reduction")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("climatebert/netzero-reduction") model = AutoModelForSequenceClassification.from_pretrained("climatebert/netzero-reduction") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8343af037403849d9fb75236cf20bdbcb1f5d95b3d54db2b0e9c7264e3bf848a
- Size of remote file:
- 329 MB
- SHA256:
- 57ba61a0e304ba1b9f7eb49b0c68335846cb60444af7612417c670498b4a90e3
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