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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lvwerra/distilbert-imdb") model = AutoModelForSequenceClassification.from_pretrained("lvwerra/distilbert-imdb", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
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Update README.md
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Upload distilbert-imdb-training.ipynb
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Update config.json
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fix label mapping (#2)
- fix label mapping (522460a36fa45172decc523b2eb22dc140ebc4e1)a46ee84
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Update config.json
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update model card README.md
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End of training
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Training in progress, step 500
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initial commit
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