Commit ·
25cf57e
1
Parent(s): e345e1a
Update README.md
Browse files
README.md
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@@ -50,4 +50,8 @@ pipe = pipeline("text-classification", model=model, tokenizer=tokenizer, device=
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for i, out in enumerate(tqdm(pipe(KeyDataset(dataset, "text"), padding=True, truncation=True))):
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print(dataset["text"][i])
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print(out)
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```
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for i, out in enumerate(tqdm(pipe(KeyDataset(dataset, "text"), padding=True, truncation=True))):
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print(dataset["text"][i])
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print(out)
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### IMPORTANT REMARK: It is highly recommended to use a prior classification step before applying ClimateBERT-NetZero.
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### Establish a climate context with "climatebert/distilroberta-base-climate-detector" for paragraphs
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### or "ESGBERT/EnvironmentalBERT-environmental" for sentences and then label the data with ClimateBERT-NetZero.
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```
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