Instructions to use pablouribe/bertstem-copus-presenting with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pablouribe/bertstem-copus-presenting with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pablouribe/bertstem-copus-presenting")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pablouribe/bertstem-copus-presenting") model = AutoModelForSequenceClassification.from_pretrained("pablouribe/bertstem-copus-presenting", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e6830b0a5d36c8e18d24c055c3b3a485d9e6e1de2ecf6e5cc78073ab886e47d
- Size of remote file:
- 439 MB
- SHA256:
- 49ea6e21bfdf4c3b7ad8a5fdc9aa4e1c92bbce09788defccf1b2d31291085e77
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