Instructions to use google/seahorse-xxl-q6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/seahorse-xxl-q6 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/seahorse-xxl-q6") model = AutoModelForSeq2SeqLM.from_pretrained("google/seahorse-xxl-q6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c3ea931f3cf2a11db3165c1f2f67b6ae57254a1b2d81ac5c7df79470b86a6031
- Size of remote file:
- 10 GB
- SHA256:
- 35920decf409f8d6fb56ffd2fe12bcf385389b206785c005be27409cc9ca915b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.