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:
- dc2d7d28720d755f0d4beb073aaf2513d398aa5ff8f8b9fe688e3d717e6c728c
- Size of remote file:
- 990 MB
- SHA256:
- ddb0bf35651a32eff128bc13d512d112816b8130005dd309d1663602a0575441
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