Instructions to use prithviraj-maurya/alexa_converting_pov with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithviraj-maurya/alexa_converting_pov with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("prithviraj-maurya/alexa_converting_pov") model = AutoModelForSeq2SeqLM.from_pretrained("prithviraj-maurya/alexa_converting_pov") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4cba3e83171b48f046ca11c0e6b7ca3ab7e72829cfc0d8cfb053f36b79306bb5
- Size of remote file:
- 892 MB
- SHA256:
- 71d89280bdbbbdd6706897abb4c757b18c63ffc6fcb87932deb4c703dcdc65ff
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