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:
- c01c968d15dc9a250694946a99c5cb7c1f341a9c0ee1ab600c5aeb37cd70f4da
- Size of remote file:
- 263 MB
- SHA256:
- 54426e5d1f0f5dc02cdf49aa1634e484402d0ecc68a00fc56c0d7df1a19b715b
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