# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("climate-nlp/longformer-base-4096-2-classify-query")
model = AutoModelForSequenceClassification.from_pretrained("climate-nlp/longformer-base-4096-2-classify-query", device_map="auto")Quick Links
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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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="climate-nlp/longformer-base-4096-2-classify-query")