Instructions to use EndLessTime/gating_network_qwen_1.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EndLessTime/gating_network_qwen_1.5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="EndLessTime/gating_network_qwen_1.5")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("EndLessTime/gating_network_qwen_1.5") model = AutoModelForSequenceClassification.from_pretrained("EndLessTime/gating_network_qwen_1.5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 24b6c593dd25781acc5f8542ace69aa40b32375241db8a55e403aaffbc783080
- Size of remote file:
- 1.15 GB
- SHA256:
- 1c9dd2f2929641d83a06011e23870a230408767b93c2021984a37b233df3b930
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