Instructions to use climatebert/distilroberta-base-climate-f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use climatebert/distilroberta-base-climate-f with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="climatebert/distilroberta-base-climate-f")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("climatebert/distilroberta-base-climate-f") model = AutoModelForMaskedLM.from_pretrained("climatebert/distilroberta-base-climate-f") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df45c93b621d40ec5535c0abd9b04f7e308a00a9673fa2f0dc94141a3930a673
- Size of remote file:
- 329 MB
- SHA256:
- a350e1abc4fe0d4bfab3653bd4b3a138895c62d5987f6b2af2cd4fd72855a84f
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