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:
- 742302e064701ea2b5c33e6613315687ab3b31d6553cce2ae5bc9d68d9316111
- Size of remote file:
- 329 MB
- SHA256:
- 5307f6fac2288859962a643600a96852837f163182d328b9ed022b96628d56a0
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