Instructions to use Deysi/sentiment_analysis_imbd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Deysi/sentiment_analysis_imbd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Deysi/sentiment_analysis_imbd")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Deysi/sentiment_analysis_imbd") model = AutoModelForSequenceClassification.from_pretrained("Deysi/sentiment_analysis_imbd") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
d462d06 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:7134d7c79c0a9b67b5bb29618cfa976ef91d0b42fb3693e7771c2d9d020bda9e
size 3579
|