Instructions to use Zahra99/base-article-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Zahra99/base-article-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Zahra99/base-article-1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Zahra99/base-article-1") model = AutoModelForSequenceClassification.from_pretrained("Zahra99/base-article-1") - 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:ef9ed24c0fa5657f3654176cee42ce09c2484f2f7fc763eab28e5842042f491e
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size 437968984
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