Summarization
Transformers
PyTorch
Safetensors
Chinese
mt5
text2text-generation
Trained with AutoTrain
Instructions to use chiakya/Bert-chinese-Summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chiakya/Bert-chinese-Summarization with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("summarization", model="chiakya/Bert-chinese-Summarization")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("chiakya/Bert-chinese-Summarization") model = AutoModelForSeq2SeqLM.from_pretrained("chiakya/Bert-chinese-Summarization") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Summarization
- Model ID: 99862147495
- CO2 Emissions (in grams): 9.7520
Validation Metrics
- Loss: 1.624
- Rouge1: 1.460
- Rouge2: 0.000
- RougeL: 1.468
- RougeLsum: 1.452
- Gen Len: 13.101
Usage
You can use cURL to access this model:
$ curl -X POST -H "Authorization: Bearer YOUR_HUGGINGFACE_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoTrain"}' https://api-inference.huggingface.co/chiakya/autotrain-generate-99862147495
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