Instructions to use dreamerdeo/da-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dreamerdeo/da-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("dreamerdeo/da-large") model = AutoModelForSeq2SeqLM.from_pretrained("dreamerdeo/da-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 35271df6b684e8ad6a1f03baa578aded8348e59f83704ab1ec706b75e1306b6a
- Size of remote file:
- 4.02 kB
- SHA256:
- 429c0dc53ed2ff5e8b7c901bbcf2bb07691a9d6ef79fc60cc81ec69a50afe4f7
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