Instructions to use adriangg04/AnalysisSentimentsReviewFilms with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adriangg04/AnalysisSentimentsReviewFilms with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="adriangg04/AnalysisSentimentsReviewFilms")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("adriangg04/AnalysisSentimentsReviewFilms") model = AutoModelForSequenceClassification.from_pretrained("adriangg04/AnalysisSentimentsReviewFilms", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5bb749e7d9c1c6a44bc9b90e57c40bebaa288c274c851e8caceb342c24f8f965
- Size of remote file:
- 5.27 kB
- SHA256:
- 98baf43648e1c4bbdd3ebe817d74d4bbdfc551897a4469dee095bc3f325da7c1
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