Instructions to use Hums003/distilbert-imdb-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hums003/distilbert-imdb-sentiment with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Hums003/distilbert-imdb-sentiment", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download train_data.csv from Hums003/distilbert-imdb-sentiment: direct link, hf CLI and curl.
- Browser
- Download file 33.2 MB
-
https://huggingface.co/Hums003/distilbert-imdb-sentiment/resolve/main/train_data.csv
- Command line
-
hf download hf://Hums003/distilbert-imdb-sentiment/train_data.csv
-
curl -L -o train_data.csv https://huggingface.co/Hums003/distilbert-imdb-sentiment/resolve/main/train_data.csv
33.2 MB
- Xet hash:
- 97c44602da83b80edeb76f6cd6709b927afd8a571bb0e2e949ff5a71be18fda7
- Size of remote file:
- 33.2 MB
- SHA256:
- 0ba8ebadc77f655877928edf3fcd58f4c69b0f7ffe54ac3a377322d5c44e6927
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