Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use wooglee/distilbert-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wooglee/distilbert-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wooglee/distilbert-imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wooglee/distilbert-imdb") model = AutoModelForSequenceClassification.from_pretrained("wooglee/distilbert-imdb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 99416087d6dde28dac260d58eda5a2a5b0f392b59b08919c2642630bf6cf38c8
- Size of remote file:
- 268 MB
- SHA256:
- c707ebbcc2d0e1bc2eb5ca1a6c5b88454bbf6638927d4a25eb741463579c4872
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