Instructions to use rasgaard/luke-base-newsgroups-probe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rasgaard/luke-base-newsgroups-probe with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rasgaard/luke-base-newsgroups-probe")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rasgaard/luke-base-newsgroups-probe") model = AutoModelForSequenceClassification.from_pretrained("rasgaard/luke-base-newsgroups-probe") - 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:f38872da3f69301f932758ab287a69e182b15e1af7f3d3eb006c8e5a4c69817e
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size 1098103216
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