Instructions to use qingmou/albert-books-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use qingmou/albert-books-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="qingmou/albert-books-test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("qingmou/albert-books-test") model = AutoModelForSequenceClassification.from_pretrained("qingmou/albert-books-test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 557d5132e8e3314ae24679964c5560a91be969583e924d143569c7a558682255
- Size of remote file:
- 3.71 kB
- SHA256:
- 8b94867c90195eb7099ec3ec8e033fa6f8b897e935918423c3ed3d6abd09d8d6
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