Instructions to use rb05751/toxic_speech_detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rb05751/toxic_speech_detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rb05751/toxic_speech_detector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rb05751/toxic_speech_detector") model = AutoModelForSequenceClassification.from_pretrained("rb05751/toxic_speech_detector") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
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 sha256:03fb0d5d34208bee5c19d47715eafa58b6f227c022744f39ba2eb9206639214c
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size 498612824
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