Instructions to use JMwagunda/GIR-ENG-MODEL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JMwagunda/GIR-ENG-MODEL with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("JMwagunda/GIR-ENG-MODEL") model = AutoModelForSeq2SeqLM.from_pretrained("JMwagunda/GIR-ENG-MODEL") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 93e8b7df337472b768ec515a4ebe11b20e9a9dafb1664b809e4b2a4fff2556b0
- Size of remote file:
- 817 kB
- SHA256:
- 1decc35a17c00a3445ae00b5aef2231246c5ebcfbb9a69f3f5d97f436b15f32b
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