Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
sentiment-analysis
text-embeddings-inference
Instructions to use DerivedFunction01/distilbert-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DerivedFunction01/distilbert-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DerivedFunction01/distilbert-imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DerivedFunction01/distilbert-imdb") model = AutoModelForSequenceClassification.from_pretrained("DerivedFunction01/distilbert-imdb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f70895bcd66d8fe7e2500a6caee325e371b998e11d76c29b682b16d57917f1c7
- Size of remote file:
- 5.2 kB
- SHA256:
- 8c622feaab55cf7dd5194717ceefc274b0b2b08ca015f4f7eead35cc1d9d6b1c
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