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:
- cd30923f96ce3c0b2af3f32febb9db1f3d4a552abb167d1c468d43d1266cd2bb
- Size of remote file:
- 5.84 kB
- SHA256:
- 568ab07e74a1c997ec7986d169e47a864c5eba7b0679018f97e5fa0d6c00fd0e
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