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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lkm2835/distilbert-imdb") model = AutoModelForSequenceClassification.from_pretrained("lkm2835/distilbert-imdb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Align label mapping with imdb dataset (#1)
- Align label mapping with imdb dataset (07cbb28ba557781e4feb4099080013198e984b01) Co-authored-by: Lewis Tunstall <lewtun@users.noreply.huggingface.co>35f9ea5
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update model card README.md
1f36245 -
End of training
d07a33a -
initial commit
a6a90f2