Instructions to use Lumos/imdb3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lumos/imdb3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Lumos/imdb3")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Lumos/imdb3") model = AutoModelForSequenceClassification.from_pretrained("Lumos/imdb3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Lumos/imdb3: direct link, hf CLI and curl.
- Browser
- Download file 433 MB
-
https://huggingface.co/Lumos/imdb3/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Lumos/imdb3/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Lumos/imdb3/resolve/main/pytorch_model.bin
433 MB
- Xet hash:
- 5aaf38379b57e27d1d004820897ad1adf684829cf669396520681ef249dd9f18
- Size of remote file:
- 433 MB
- SHA256:
- 3adf12899b81dae7c31599ed3c582bf1c31fba3dfcb6397a43eb72c74d9e25b9
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