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:
- 10595928c091d2f5db3dedf417069c0aede6209435667d3135c4ed36978c5c2b
- Size of remote file:
- 651 MB
- SHA256:
- f3c8a1d2ccbdb0392d03b3f4717950894cebabdbb56633d0252feb1036d73f8c
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