Instructions to use Yoonseong/climatebert_trained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yoonseong/climatebert_trained with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Yoonseong/climatebert_trained")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Yoonseong/climatebert_trained") model = AutoModelForSequenceClassification.from_pretrained("Yoonseong/climatebert_trained", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 80c206353f962e17c45d7c57ebeaf50c0c897b49f0908f910d09c8364fda0060
- Size of remote file:
- 329 MB
- SHA256:
- 84d98c0d6d70debf6d09347251c8692ed090da22bbca2755d0e49f03ee815391
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