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:
- c17835934c6279837eaf5aa125ef788f951d3b8b48df1c3ffebb2f6649c319f4
- Size of remote file:
- 2.99 kB
- SHA256:
- cc16c04ca0cc8fb58c5921acf9854007d1c1ffa0bfbca453f98d40a8af9aa9a7
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