Instructions to use google/seahorse-large-q4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/seahorse-large-q4 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/seahorse-large-q4") model = AutoModelForSeq2SeqLM.from_pretrained("google/seahorse-large-q4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b7fcc437282c7c0c6f3f5029f69faa9ca4ec5992b25c493498eebb51eba50fb2
- Size of remote file:
- 4.92 GB
- SHA256:
- 0868d28fc0c13e0ec4fa25aa29e926843cc11b92eecb54dff43b9a0257978929
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