Instructions to use Mathnub/imdb-score-predict-distilbert2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mathnub/imdb-score-predict-distilbert2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mathnub/imdb-score-predict-distilbert2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mathnub/imdb-score-predict-distilbert2") model = AutoModelForSequenceClassification.from_pretrained("Mathnub/imdb-score-predict-distilbert2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d2ad814ffde404bffebe293ccb9e434d04c1351a98ee02aff84bb906129e8de
- Size of remote file:
- 3.96 kB
- SHA256:
- d3e8cec2fe625f73fbda3741c8174eeee14c19e18db49ddff24660766e6667fe
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