Instructions to use google/seahorse-large-q5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/seahorse-large-q5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/seahorse-large-q5") model = AutoModelForSeq2SeqLM.from_pretrained("google/seahorse-large-q5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a908772723a1e42b92242db8f7d3a2867b4e37b39a7b2c22323f215fa0a2f677
- Size of remote file:
- 4.92 GB
- SHA256:
- 8ac9b7e509cbcb37f5a505f08d5bea695a180eab55519386bf261727a1373262
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