Instructions to use Mustarz/imdb-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mustarz/imdb-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mustarz/imdb-2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mustarz/imdb-2") model = AutoModelForSequenceClassification.from_pretrained("Mustarz/imdb-2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 62357c051cf5baf548c2eac2ec6b280c0df3d36c0e07408e793808cbeed07340
- Size of remote file:
- 438 MB
- SHA256:
- e375f61e6cb82a330e9ca837da2ce0f6de1af64358c53caba0255efdb515a558
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