Instructions to use liamliang/demographics_race with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use liamliang/demographics_race with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="liamliang/demographics_race")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("liamliang/demographics_race") model = AutoModelForSequenceClassification.from_pretrained("liamliang/demographics_race") - Notebooks
- Google Colab
- Kaggle
Commit ·
e5e08bf
1
Parent(s): 362e137
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:c4ddb15422d6484b2269c07ee20b460288bbf70fafd9221db43d40922567f7d0
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size 437948480
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