Instructions to use climatebert/distilroberta-base-climate-commitment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use climatebert/distilroberta-base-climate-commitment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="climatebert/distilroberta-base-climate-commitment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("climatebert/distilroberta-base-climate-commitment") model = AutoModelForSequenceClassification.from_pretrained("climatebert/distilroberta-base-climate-commitment") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2a8d471b792c59433d404d64ed74c61ecb6d59ac1b70ae77369b97ea3c2490c0
- Size of remote file:
- 329 MB
- SHA256:
- 227ad7b132da75c7b09a3a64e05a6f293339abc7a22702ea4f7b217035640963
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