Instructions to use FiveC/BartTayFinal-sliding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FiveC/BartTayFinal-sliding with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FiveC/BartTayFinal-sliding") model = AutoModelForSeq2SeqLM.from_pretrained("FiveC/BartTayFinal-sliding", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da6721270bc90223636855088b4124c2e0973f677d2442e8c91568bfb80bd423
- Size of remote file:
- 5.97 kB
- SHA256:
- 631c1557e0d90be72a97802ecdc7da164f23adf59a918b336e9d35486dbcfcd6
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