Instructions to use rasgaard/squeezebert-newsgroups-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rasgaard/squeezebert-newsgroups-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rasgaard/squeezebert-newsgroups-finetuned")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rasgaard/squeezebert-newsgroups-finetuned") model = AutoModelForSequenceClassification.from_pretrained("rasgaard/squeezebert-newsgroups-finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f01a5264d5c6f3510b288b7f95887481f68b44b9a35de874706b72d0f15be888
- Size of remote file:
- 205 MB
- SHA256:
- 5242da9432a00ad8fb32eed70b558559201ed26c973f56d1d35fea4c436e3697
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