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README.md

@@ -1,3 +1,31 @@
----
-license: gpl-3.0
----
+# Hate Speech Classifier v1
+
+## Overview
+
+The "Hate Speech Classifier v1" is a model designed to classify hate speech in text data. It has been trained on the "ucberkeley-dlab/measuring-hate-speech" dataset to effectively identify instances of hate speech.
+
+## Usage
+
+### Installation
+
+To use the "Hate Speech Classifier v1," you'll need to have the Hugging Face Transformers library installed. You can install it using pip:
+
+```bash
+pip install transformers
+```
+
+### Usage
+
+You can load and use the "Hate Speech Classifier v1" in your Python code by following these steps:
+
+```python
+from transformers import pipeline
+
+model = pipeline(model="moonstripe/hate_speech_classifier_v1")
+model("Hello world")
+
+# Interpret the predictions to determine hate speech classification
+# ...
+
+# Clean up resources as needed
+``````

added_tokens.json

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+}

config.json

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+  "model_type": "bert",
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+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
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+  "transformers_version": "4.34.0",
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+  "use_cache": true,
+  "vocab_size": 30522
+}

pytorch_model.bin

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special_tokens_map.json

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tokenizer_config.json

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+  "unk_token": "[UNK]"
+}