Instructions to use risingodegua/hate-speech-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use risingodegua/hate-speech-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="risingodegua/hate-speech-detector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("risingodegua/hate-speech-detector") model = AutoModelForSequenceClassification.from_pretrained("risingodegua/hate-speech-detector") - Notebooks
- Google Colab
- Kaggle
Commit ·
e010699
1
Parent(s): 035a3e0
Add tensorflow hate speech model
Browse files- tf_model.h5 +3 -0
tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:61556708fc7eaaba68f898af8e4d6d3d5e579b52dc2fb4b5cb3da6d26008410d
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size 438226268
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