Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use dudizi/he-router with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dudizi/he-router with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dudizi/he-router")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dudizi/he-router") model = AutoModelForSequenceClassification.from_pretrained("dudizi/he-router", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 89ee2bbef5b45e8dd8eb6931dcd8310889a4a8efab8e06847cf61bbc096513c6
- Size of remote file:
- 737 MB
- SHA256:
- 55297b5f159cdd3d650377fc13359c70ae4ff811f21c445acf200a342c5b055b
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