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
- Xet hash:
- 6728fbe97edcb2c4881346d6dc6403a0dce705859986417ea6f8032891bb7cc0
- Size of remote file:
- 1.74 GB
- SHA256:
- 18081d532c67d97fa3dfd3e994fe83d4b14cee54b4a4e11cd6e68dca8140b2ff
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