Instructions to use YusufDagdeviren/SentimentAnalysisFromMovieReviews with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YusufDagdeviren/SentimentAnalysisFromMovieReviews with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="YusufDagdeviren/SentimentAnalysisFromMovieReviews")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("YusufDagdeviren/SentimentAnalysisFromMovieReviews") model = AutoModelForSequenceClassification.from_pretrained("YusufDagdeviren/SentimentAnalysisFromMovieReviews", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from YusufDagdeviren/SentimentAnalysisFromMovieReviews: direct link, hf CLI and curl.
- Browser
- Download file 469 MB
-
https://huggingface.co/YusufDagdeviren/SentimentAnalysisFromMovieReviews/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://YusufDagdeviren/SentimentAnalysisFromMovieReviews/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/YusufDagdeviren/SentimentAnalysisFromMovieReviews/resolve/main/pytorch_model.bin
469 MB
- Xet hash:
- 972fb5f80b9ed555872206246d850481dc48ad63c1389fcaf98c30e9be4aa7f8
- Size of remote file:
- 469 MB
- SHA256:
- fd636443a232f838c41eb6df093b1240dcd11bc61821bb0e4469ff6421edfa35
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