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:
- 3c989108d3bb19085f00cf6b1cbffb63a5e4050142e3457209ae27fcdf2fd0da
- Size of remote file:
- 2.99 kB
- SHA256:
- f36ad2f32e0c367081f38c1c5e777c1729e08705a7dbf4b92ab3a642ca8cf7f4
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