Instructions to use JMwagunda/ENG-SW-MODEL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JMwagunda/ENG-SW-MODEL with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("JMwagunda/ENG-SW-MODEL") model = AutoModelForSeq2SeqLM.from_pretrained("JMwagunda/ENG-SW-MODEL", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1cae38f8d744fbded8e4c2cdd519ae6485613ebe3d2d8ec1cbc11a2009e44b2a
- Size of remote file:
- 821 kB
- SHA256:
- 49d825aac86bf2083c0952b920479aa0d86376613cb9da552135723f9e6aebda
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