Climatebert

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Average Model Cost: $0.0000

Number of Runs: 27,598

Models by this creator

distilroberta-base-climate-detector

distilroberta-base-climate-detector

climatebert

The distilroberta-base-climate-detector is a text classification model that has been trained on a large dataset to detect whether a given piece of text is related to climate change or not. It is based on the distilroberta-base architecture and can be used to classify text documents, articles, or other forms of textual data into climate change-related or non-climate change-related categories.

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$-/run

13.0K

Huggingface

distilroberta-base-climate-sentiment

distilroberta-base-climate-sentiment

The distilroberta-base-climate-sentiment model is a language model that has been fine-tuned for classifying climate-related paragraphs into sentiment classes such as opportunity, neutral, or risk. It is trained using the ClimateBERT language model as a starting point and fine-tuned on the climate_sentiment dataset. It is important to note that this model is trained on paragraphs and may not perform well on individual sentences. You can use the model with a pipeline for text classification.

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$-/run

11.8K

Huggingface

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