Instructions to use ISTA-DASLab/switch-base-128_qmoe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ISTA-DASLab/switch-base-128_qmoe with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ISTA-DASLab/switch-base-128_qmoe") model = AutoModelForSeq2SeqLM.from_pretrained("ISTA-DASLab/switch-base-128_qmoe", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5f8afc56c5e31fa4cb238b7979868616134a854ab5eba2fc299646ec36f57aef
- Size of remote file:
- 68.4 MB
- SHA256:
- 3d16a974f43cf349ed9fd225330e700a67fb73b4b3e9dc00fa1df411fa31a3ca
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.