Instructions to use climatebert/transition-physical with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use climatebert/transition-physical with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="climatebert/transition-physical")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("climatebert/transition-physical") model = AutoModelForSequenceClassification.from_pretrained("climatebert/transition-physical") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fd03451621e7ec45f96b0a8a83ad6582fed3daa248c0cd6457ef762b87dd5bf5
- Size of remote file:
- 329 MB
- SHA256:
- 15db971a05bbfde3f0593f38905d601cb8b975f06cc1161211b51caf4fed56b2
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