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")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("debajyotimaz/codemix_hate") model = AutoModelForSequenceClassification.from_pretrained("debajyotimaz/codemix_hate") - Notebooks
- Google Colab
- Kaggle
Push model using huggingface_hub.
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:13d2d3c63af3da21b89eb9408abd4821c9e1c557f06edf0fafb78f9b1fd1bef4
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size 711499886
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