Instructions to use ADHIZ/sequential-omni_devi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ADHIZ/sequential-omni_devi with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ADHIZ/sequential-omni_devi") model = AutoModelForSeq2SeqLM.from_pretrained("ADHIZ/sequential-omni_devi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0954604a4ce2dac91ab889e001fe4e736fe7086e5f63a763b3f222b6c652a132
- Size of remote file:
- 308 MB
- SHA256:
- 160fdc6c664e6c329e69a574ee163b8b7d72adfa9dbfb72f451f7bc11f783d38
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