Instructions to use JamesH/Movie_review_sentiment_analysis_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JamesH/Movie_review_sentiment_analysis_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JamesH/Movie_review_sentiment_analysis_model")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JamesH/Movie_review_sentiment_analysis_model", device_map="auto") - 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 sha256:7715cdddb7c4b86d8f00e78c62a662ad7ce01414186791288625a7354f97f94d
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size 737723472
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