Instructions to use PrathameshPawar/sci_summary_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PrathameshPawar/sci_summary_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="PrathameshPawar/sci_summary_2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("PrathameshPawar/sci_summary_2") model = AutoModelForMaskedLM.from_pretrained("PrathameshPawar/sci_summary_2") - Notebooks
- Google Colab
- Kaggle
Commit ·
fca30e2
1
Parent(s): cb8094e
Upload 15_test.json (#2)
Browse files- Upload 15_test.json (5bad0c6b23e2622caad98a2c9f8f693dd0d01291)
Co-authored-by: Ashwin Sharan <Ashwin0@users.noreply.huggingface.co>