Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use lvwerra/distilbert-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lvwerra/distilbert-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lvwerra/distilbert-imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lvwerra/distilbert-imdb") model = AutoModelForSequenceClassification.from_pretrained("lvwerra/distilbert-imdb") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b88a1531c3bcc5f9cb0ef6ee354595004b841c9518691e9450c2469f95fff985
- Size of remote file:
- 268 MB
- SHA256:
- 2ede11721eca562deedaf262b9ef2f504342ec76720e142f41fed7f062577035
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