Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use ProceduralTree/chinese_qa_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ProceduralTree/chinese_qa_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ProceduralTree/chinese_qa_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ProceduralTree/chinese_qa_model") model = AutoModelForSequenceClassification.from_pretrained("ProceduralTree/chinese_qa_model") - Notebooks
- Google Colab
- Kaggle
Commit ·
f2920c7
1
Parent(s): 7e20324
End of training
Browse files
runs/Jan11_09-11-26_901137f59d5a/events.out.tfevents.1673428294.901137f59d5a.959.2
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