Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
sentiment-analysis
text-embeddings-inference
Instructions to use DerivedFunction01/distilbert-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DerivedFunction01/distilbert-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DerivedFunction01/distilbert-imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DerivedFunction01/distilbert-imdb") model = AutoModelForSequenceClassification.from_pretrained("DerivedFunction01/distilbert-imdb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 064e29997d7e2cb6780f27759e99e67e89300ffc0bc7f9cc9f82d4240a59a528
- Size of remote file:
- 5.2 kB
- SHA256:
- 61adb39d8b1a24a60a1fd297c98c586037f32c31e23c2d86731aa03d3af9f23c
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