Text Classification
Transformers
PyTorch
Safetensors
English
roberta
ClimateBERT
climate
text-embeddings-inference
Instructions to use climatebert/environmental-claims with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use climatebert/environmental-claims with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="climatebert/environmental-claims")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("climatebert/environmental-claims") model = AutoModelForSequenceClassification.from_pretrained("climatebert/environmental-claims") - Notebooks
- Google Colab
- Kaggle
Add metadata tag to model card metadata
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README.md
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@@ -4,6 +4,7 @@ license: apache-2.0
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datasets: climatebert/environmental_claims
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tags:
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- ClimateBERT
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---
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# Model Card for environmental-claims
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url = {https://arxiv.org/abs/2209.00507},
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publisher = {arXiv},
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}
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```
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datasets: climatebert/environmental_claims
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tags:
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- ClimateBERT
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- climate
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---
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# Model Card for environmental-claims
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url = {https://arxiv.org/abs/2209.00507},
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publisher = {arXiv},
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}
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```
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