Instructions to use unitary/toxic-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use unitary/toxic-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="unitary/toxic-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("unitary/toxic-bert") model = AutoModelForSequenceClassification.from_pretrained("unitary/toxic-bert") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit ·
a447313
1
Parent(s): 15b5762
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:0d0f2f0f91fba48e031aa7afa281c4b57fea20bbff32cef6d01d3e8ac74ba1d6
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size 437954632
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