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:
- 19e87a9d69f22f6355c7dfb82d9454d82c0000311d64e5b3ff4f2e13c313e1d4
- Size of remote file:
- 52.8 MB
- SHA256:
- 9c8ca991bb7db54299144ce47477eacb173f2d891d52fc9c37028ff239efadf2
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