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:
- 28fc8d9c0d19686aaa6c145a2618aed8f9f9748cf228e1e92a0f81272892dd42
- Size of remote file:
- 329 MB
- SHA256:
- cb3271d8340f5e413b91cd4e2223b0923c7a9434faa1da28177f95bbaa8205b3
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