Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use ASCCCCCCCC/distilbert-base-chinese-amazon_zh_20000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ASCCCCCCCC/distilbert-base-chinese-amazon_zh_20000 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ASCCCCCCCC/distilbert-base-chinese-amazon_zh_20000")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ASCCCCCCCC/distilbert-base-chinese-amazon_zh_20000") model = AutoModelForSequenceClassification.from_pretrained("ASCCCCCCCC/distilbert-base-chinese-amazon_zh_20000") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 85c8fa2c566eaa44b65109ab581bc71a21587ab2120ca17dac73207fe6b8d074
- Size of remote file:
- 409 MB
- SHA256:
- b1dfbf033258f8b788ab2cb6ccce3c0f54628d2bb174ea2be135bb3a73882308
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