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--- |
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tags: autonlp |
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language: en |
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widget: |
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- text: "the jews have a lot of power" |
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datasets: |
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- astarostap/autonlp-data-antisemitism-2 |
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co2_eq_emissions: 2.0686690092905224 |
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--- |
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# Description |
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This model takes a tweet with the word "jew" in it, and determines if it's antisemitic. |
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Training data: |
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This model was trained on 4k tweets, where ~50% were labeled as antisemitic. |
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I labeled them myself based on personal experience and knowledge about common antisemitic tropes. |
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Note: |
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The goal for this model is not to be used as a final say on what is or is not antisemitic, but rather as a first pass on what might be antisemitic and should be reviewed by human experts. |
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Please keep in mind that I'm not an expert on antisemitism or hatespeech. |
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Whether something is antisemitic or not depends on the context, as for any hate speech, and everyone has a different definition for what is hate speech. |
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If you would like to collaborate on antisemitism detection, please feel free to contact me at [email protected] |
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This model is not ready for production, it needs more evaluation and more training data. |
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# Model Trained Using AutoNLP |
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- Problem type: Binary Classification |
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- Model ID: 21194454 |
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- CO2 Emissions (in grams): 2.0686690092905224 |
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- Dataset: https://huggingface.co/datasets/astarostap/autonlp-data-antisemitism-2 |
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## Validation Metrics |
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- Loss: 0.5291365385055542 |
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- Accuracy: 0.7572692793931732 |
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- Precision: 0.7126948775055679 |
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- Recall: 0.835509138381201 |
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- AUC: 0.8185826549941126 |
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- F1: 0.7692307692307693 |
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## Usage |
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You can use cURL to access this model: |
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``` |
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$ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoNLP"}' https://api-inference.huggingface.co/models/astarostap/autonlp-antisemitism-2-21194454 |
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``` |
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Or Python API: |
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``` |
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from transformers import AutoModelForSequenceClassification, AutoTokenizer |
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model = AutoModelForSequenceClassification.from_pretrained("astarostap/autonlp-antisemitism-2-21194454", use_auth_token=True) |
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tokenizer = AutoTokenizer.from_pretrained("astarostap/autonlp-antisemitism-2-21194454", use_auth_token=True) |
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inputs = tokenizer("I love AutoNLP", return_tensors="pt") |
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outputs = model(**inputs) |
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``` |
