Instructions to use minh21/XLNet-large-Reddit-Toxic-Comment-Classification-5-epochs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use minh21/XLNet-large-Reddit-Toxic-Comment-Classification-5-epochs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="minh21/XLNet-large-Reddit-Toxic-Comment-Classification-5-epochs")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("minh21/XLNet-large-Reddit-Toxic-Comment-Classification-5-epochs") model = AutoModelForSequenceClassification.from_pretrained("minh21/XLNet-large-Reddit-Toxic-Comment-Classification-5-epochs") - 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:eb05a96224c4c254cce49f81b5c0f4400ad7181f49ba2b4d4daf2159b193f260
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size 469264592
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