Instructions to use climatebert/distilroberta-base-climate-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use climatebert/distilroberta-base-climate-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="climatebert/distilroberta-base-climate-detector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("climatebert/distilroberta-base-climate-detector") model = AutoModelForSequenceClassification.from_pretrained("climatebert/distilroberta-base-climate-detector") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 116613c22c879cddb67ae53596f543bafa08269f58af267ef350b2598576d431
- Size of remote file:
- 329 MB
- SHA256:
- 904af78eae608823602b6e9641549213388c191e15807d575c6b367b5056106c
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