Instructions to use climatebert/distilroberta-base-climate-d-s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use climatebert/distilroberta-base-climate-d-s with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="climatebert/distilroberta-base-climate-d-s")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("climatebert/distilroberta-base-climate-d-s") model = AutoModelForMaskedLM.from_pretrained("climatebert/distilroberta-base-climate-d-s") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6601d7082a3e1283d850341a12735948a5efa53ffd04e9a2d9b8b208d648dfdc
- Size of remote file:
- 329 MB
- SHA256:
- 661442e3facfe88f15e94fa841ca26d4b4b64041461c4e0dd0ba972e43cf97f8
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