Instructions to use gexai/marvin-optimized-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gexai/marvin-optimized-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gexai/marvin-optimized-base") model = AutoModelForSeq2SeqLM.from_pretrained("gexai/marvin-optimized-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0bb8de1ab12f194ca465d4a3d20b48e921b3c35208db819169bf288928e1d13f
- Size of remote file:
- 439 MB
- SHA256:
- e2cd7687a8af888c39430db769ec65bde07109741b4c47440d14f88154627baf
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