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
Add tag to model card metadata
#2
by librarian-bot - opened
To help make your model more discoverable to domain experts, I suggest adding a climate tag to the metadata for your model.
webersni changed pull request status to merged