Text Classification
Transformers
PyTorch
TensorBoard
albert
Generated from Trainer
Eval Results (legacy)
Instructions to use jiiyy/albert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jiiyy/albert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jiiyy/albert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jiiyy/albert") model = AutoModelForSequenceClassification.from_pretrained("jiiyy/albert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ee7ed1c579ef4fe76a43deafcaa6e6d2c4806286f20d6f9535fbd5b38af6aced
- Size of remote file:
- 3.96 kB
- SHA256:
- 10a46625e445f27dbf54fe4c883c9c367800ed1b03539a10dcf5275f8d5c4921
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