Instructions to use nsstt/opinionated_article_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nsstt/opinionated_article_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nsstt/opinionated_article_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nsstt/opinionated_article_classifier") model = AutoModelForSequenceClassification.from_pretrained("nsstt/opinionated_article_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 sha256:57af9f002aff494ef217471d11c2b770084ebc7d13201f6dabe5ff68ab1371f8
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size 594678184
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