Instructions to use edmundmills/dignity-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use edmundmills/dignity-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="edmundmills/dignity-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("edmundmills/dignity-classifier") model = AutoModelForSequenceClassification.from_pretrained("edmundmills/dignity-classifier") - 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:c771e1818250b5fae45a2c9db04ab8f66014e567f0b3415fdf32fe26a5399783
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size 737741928
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