Instructions to use bwreeves/bert-movie with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bwreeves/bert-movie with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bwreeves/bert-movie")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bwreeves/bert-movie") model = AutoModelForSequenceClassification.from_pretrained("bwreeves/bert-movie") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e59aa0987d7c1e87ff9325cef73b4f083c67497c592a9c1053fcbfca97e0d4f9
- Size of remote file:
- 268 MB
- SHA256:
- ea6b7e9c30747b84906d46932998b0f8b5e95b26fa5a99bc6e1df07903f63127
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.