Instructions to use Michael54546/ToxicTweet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Michael54546/ToxicTweet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Michael54546/ToxicTweet")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Michael54546/ToxicTweet") model = AutoModelForSequenceClassification.from_pretrained("Michael54546/ToxicTweet") - 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:ce07af560398cd281b9ad55937b427599cf2adddb7af3925ea8e5f3c5e0d0a80
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size 437975136
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