Instructions to use TheMrguiller/ToxDialogDefender with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheMrguiller/ToxDialogDefender with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TheMrguiller/ToxDialogDefender")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TheMrguiller/ToxDialogDefender") model = AutoModelForSequenceClassification.from_pretrained("TheMrguiller/ToxDialogDefender") - Notebooks
- Google Colab
- Kaggle
Commit ·
1b1ee38
1
Parent(s): fc39c28
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (f33cee77f587c9604b3cf43d585091f6dca9db0e)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:0424af0b168650127cbeca552f6520be0f8888ded8d69cf5d4acf4d7e0e4a2f8
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size 556812976
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