Text Classification
Transformers
TensorBoard
Safetensors
albert
Generated from Trainer
sentiment-analysis
Instructions to use DerivedFunction01/albert-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DerivedFunction01/albert-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DerivedFunction01/albert-imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DerivedFunction01/albert-imdb") model = AutoModelForSequenceClassification.from_pretrained("DerivedFunction01/albert-imdb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 904aa75fd0a325076e37dc79adda1977b06fe7affe00ffdfa3ee009cf86e22c8
- Size of remote file:
- 5.2 kB
- SHA256:
- e952f1433291e81f3569145140f97bd722c23eb96179c1d2abf71c1d42863231
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