Instructions to use jmilic/adapter_bottleneck_final-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jmilic/adapter_bottleneck_final-2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("jmilic/adapter_bottleneck_final-2") model = AutoModel.from_pretrained("jmilic/adapter_bottleneck_final-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from jmilic/adapter_bottleneck_final-2: direct link, hf CLI and curl.
- Browser
- Download file 3.12 kB
-
https://huggingface.co/jmilic/adapter_bottleneck_final-2/resolve/main/training_args.bin
- Command line
-
hf download hf://jmilic/adapter_bottleneck_final-2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/jmilic/adapter_bottleneck_final-2/resolve/main/training_args.bin
3.12 kB
- Xet hash:
- 3f0396463c73f49bf4af4628fea79d82ad1c29808dba8310a80c727ec3d41c90
- Size of remote file:
- 3.12 kB
- SHA256:
- 28e08349fc6fb2abfb14e345d9438ba37b54ab85c1d4af12f7fa896394a3dc55
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