Instructions to use Mathnub/imdb-score-predict-roberta-large-fulldata with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mathnub/imdb-score-predict-roberta-large-fulldata with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mathnub/imdb-score-predict-roberta-large-fulldata")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mathnub/imdb-score-predict-roberta-large-fulldata") model = AutoModelForSequenceClassification.from_pretrained("Mathnub/imdb-score-predict-roberta-large-fulldata") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 05927ce01df71b9ceb24593a803658692580d8c55d10cde359865c727c0e3d1a
- Size of remote file:
- 1.42 GB
- SHA256:
- cc6608de452b02761e7e144576b53782bb8fb6b75be50994bc2315b25a6f6b83
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