Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use dhlee347/distilbert-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dhlee347/distilbert-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dhlee347/distilbert-imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dhlee347/distilbert-imdb") model = AutoModelForSequenceClassification.from_pretrained("dhlee347/distilbert-imdb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6eaf8c72c98e2e8cbb4a26df091206a28ba725e25796b0d384643f54e8b3977b
- Size of remote file:
- 268 MB
- SHA256:
- bf98cc39a5c527c055d88ba2627da66d1baf4061be8bc71139b0b99348324f29
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