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:
- a30d1ee853c3b2557249c0e491894d5395b1e7a769c031da01cb0db7190a8c1b
- Size of remote file:
- 3.06 kB
- SHA256:
- 66572b170d87946c09f9dfee79e569a412eb4bcf5b96e5aec8e84167d34d7414
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