Instructions to use rasgaard/distilbert-newsgroups-probe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rasgaard/distilbert-newsgroups-probe with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rasgaard/distilbert-newsgroups-probe")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rasgaard/distilbert-newsgroups-probe") model = AutoModelForSequenceClassification.from_pretrained("rasgaard/distilbert-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 sha256:6fd0ef87c0ed214bad4b08aeea288a7f445ebf4a1126458ba9452ce2c9a224c4
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size 267887936
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