Instructions to use Mesay/Homo-mex-multi-class-hate-speech with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mesay/Homo-mex-multi-class-hate-speech with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mesay/Homo-mex-multi-class-hate-speech")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mesay/Homo-mex-multi-class-hate-speech") model = AutoModelForSequenceClassification.from_pretrained("Mesay/Homo-mex-multi-class-hate-speech", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:1bff092dfce56b9f04fd77a6de3f89b2be9d164bd11cb04c8c2bb4d9d455d7ba
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size 498620100
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