Instructions to use rasgaard/luke-base-newsgroups-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rasgaard/luke-base-newsgroups-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rasgaard/luke-base-newsgroups-finetuned")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rasgaard/luke-base-newsgroups-finetuned") model = AutoModelForSequenceClassification.from_pretrained("rasgaard/luke-base-newsgroups-finetuned") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e91ff8d1618f0d40eebcbe464a591948981aa1ec59de251fe17702132f042cad
- Size of remote file:
- 1.1 GB
- SHA256:
- 157b10999e4f13ba6b6429e2c433d4715bfb6196ff745165d183ec60cdc4830e
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