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 training_args.bin from Lumos/imdb3: direct link, hf CLI and curl.
- Browser
- Download file 2.8 kB
-
https://huggingface.co/Lumos/imdb3/resolve/main/training_args.bin
- Command line
-
hf download hf://Lumos/imdb3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Lumos/imdb3/resolve/main/training_args.bin
2.8 kB
- Xet hash:
- 0ffed61788e03ba2c51b534c8cfe3a919a5ff43bd5dc2507e71e7330c4efcbb8
- Size of remote file:
- 2.8 kB
- SHA256:
- 06f459039f8e14cc797d11037c10107752c52396d83b327855cd63cd05efe5b3
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