Instructions to use debajyotimaz/codemix_hate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use debajyotimaz/codemix_hate with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="debajyotimaz/codemix_hate")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("debajyotimaz/codemix_hate") model = AutoModelForSequenceClassification.from_pretrained("debajyotimaz/codemix_hate", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +1 -0
config.json
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{
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"_name_or_path": "bert-base-multilingual-cased",
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"architectures": [
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"BertForMaskedLM"
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{
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"_num_labels": 2,
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"_name_or_path": "bert-base-multilingual-cased",
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"architectures": [
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"BertForMaskedLM"
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