Instructions to use Lumos/imdb4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lumos/imdb4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Lumos/imdb4")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Lumos/imdb4") model = AutoModelForSequenceClassification.from_pretrained("Lumos/imdb4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Lumos/imdb4: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/Lumos/imdb4/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Lumos/imdb4/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Lumos/imdb4/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 3ad85aaa398e6bf2d174a47aa0dcc7755fdabd5eec8a282dc0e318d559b5b660
- Size of remote file:
- 438 MB
- SHA256:
- 2d30dee37576f4c41fd4dbfd03d93e034b4e63f4a81a3d56fff07b0706275fc0
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