Instructions to use climate-nlp/longformer-large-4096-3-classify-stance with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use climate-nlp/longformer-large-4096-3-classify-stance with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="climate-nlp/longformer-large-4096-3-classify-stance")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("climate-nlp/longformer-large-4096-3-classify-stance") model = AutoModelForSequenceClassification.from_pretrained("climate-nlp/longformer-large-4096-3-classify-stance") - Notebooks
- Google Colab
- Kaggle
This model is to reproduce our paper 'An NLP Benchmark Dataset for Assessing Corporate Climate Policy Engagement' at NeurIPS 2023 Datasets and Benchmarks Track. For the usage of this model, see https://github.com/climate-nlp/climate-policy-nlp . This model may be used for research purposes only. Commercial use or redistribution is prohibited. We use third party contents for fine-tuning. For more detail and the usage limitation, see https://climate-nlp.github.io/.
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