Instructions to use suayptalha/MoE-Router-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use suayptalha/MoE-Router-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="suayptalha/MoE-Router-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("suayptalha/MoE-Router-v2") model = AutoModelForSequenceClassification.from_pretrained("suayptalha/MoE-Router-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 845d91b8dce90af99f50a0a898138dc3a0e644ef890ebdfce8f2fd3281bdd3e5
- Size of remote file:
- 268 MB
- SHA256:
- acdbc9aa3dcfb5b0b28755006cb0973bfd4bca7596368a5b9bed437a79891fa0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.