Instructions to use Lumos/imdb2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lumos/imdb2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Lumos/imdb2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Lumos/imdb2") model = AutoModelForSequenceClassification.from_pretrained("Lumos/imdb2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Lumos/imdb2: direct link, hf CLI and curl.
- Browser
- Download file 2.8 kB
-
https://huggingface.co/Lumos/imdb2/resolve/main/training_args.bin
- Command line
-
hf download hf://Lumos/imdb2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Lumos/imdb2/resolve/main/training_args.bin
2.8 kB
- Xet hash:
- 4ea84a82c94491c6d642a58a7326737eec18cbbe982d8cd6e6a454279b73ed84
- Size of remote file:
- 2.8 kB
- SHA256:
- 0bb9832f5bb829c59e0cfda7b4add37c5cf0d6ca31ea87ca01e7658d2cb56795
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