Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use lkm2835/distilbert-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lkm2835/distilbert-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lkm2835/distilbert-imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lkm2835/distilbert-imdb") model = AutoModelForSequenceClassification.from_pretrained("lkm2835/distilbert-imdb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 82969a033cc1a9c4d57c31a20df00a240ed95c7ba3e2e9135f5f6d4b1c6226a3
- Size of remote file:
- 268 MB
- SHA256:
- 02b7bd138e52dae61de9e0faf845dcd68dfb764e980fbe8120d20ba8de9bdb49
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