Instructions to use driftbench/climateattention-ctw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use driftbench/climateattention-ctw with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="driftbench/climateattention-ctw")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("driftbench/climateattention-ctw") model = AutoModelForSequenceClassification.from_pretrained("driftbench/climateattention-ctw") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 53f7accb48a17ea784d68bbef9075eb2952b8fc7aa25d794e339c1bf9fc3b12a
- Size of remote file:
- 329 MB
- SHA256:
- f8197558c6322626b967eeb35be4a169cd684e71ca7b86800a7be2b115907006
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