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:
- ff1883c68351dfe6b5ff9a97fe62d70e0012abffe59f04a6e10cda4ef4cb3edd
- Size of remote file:
- 5.16 kB
- SHA256:
- c924441e9ee1a18f1ee84d713aaece38c8469be3ade640a9646ae2d7f95e1940
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