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 training_args.bin from Lumos/imdb4: direct link, hf CLI and curl.
- Browser
- Download file 2.8 kB
-
https://huggingface.co/Lumos/imdb4/resolve/main/training_args.bin
- Command line
-
hf download hf://Lumos/imdb4/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Lumos/imdb4/resolve/main/training_args.bin
2.8 kB
- Xet hash:
- 0918d9fdb5b922fdd1d5218b486faa93d5a112eaa5a6cb9518507cd443ddf47a
- Size of remote file:
- 2.8 kB
- SHA256:
- d97077592429a119361ff3f44844bec2806672c59b99baa3fd4c1232b7a0e318
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