Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use ASCCCCCCCC/bert-base-chinese-finetuned-amazon_zh_20000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ASCCCCCCCC/bert-base-chinese-finetuned-amazon_zh_20000 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ASCCCCCCCC/bert-base-chinese-finetuned-amazon_zh_20000")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ASCCCCCCCC/bert-base-chinese-finetuned-amazon_zh_20000") model = AutoModelForSequenceClassification.from_pretrained("ASCCCCCCCC/bert-base-chinese-finetuned-amazon_zh_20000") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c086124e067f7e27d5404eb53b94aaa3a3a507fde61e4678fe703adfe771a36
- Size of remote file:
- 409 MB
- SHA256:
- c0113d7cd4baa470a9b4cd8cef43900b04d41336d97c5022060190519fe59b20
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