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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d84f541626fecb8f5ef76a02af16133ddf496bae4084d989eefd37f7055844ba
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size 46748096
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