Instructions to use climatebert/distilroberta-base-climate-s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use climatebert/distilroberta-base-climate-s with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="climatebert/distilroberta-base-climate-s")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("climatebert/distilroberta-base-climate-s") model = AutoModelForMaskedLM.from_pretrained("climatebert/distilroberta-base-climate-s") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- becf254846811717f8cce9c529a6b7715dd061a964433668e29ae922f2c9b9a3
- Size of remote file:
- 329 MB
- SHA256:
- 86a920463fe9e48116f69468c0dd21418d0d11d5e4b72f9d55239eb87933f5f6
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