Instructions to use isbondarev/gigachat_3.1_smartsearch_sft_adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use isbondarev/gigachat_3.1_smartsearch_sft_adapter with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("isbondarev/gigachat_3.1_smartsearch_sft_adapter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from isbondarev/gigachat_3.1_smartsearch_sft_adapter: direct link, hf CLI and curl.
- Browser
- Download file 6.42 kB
-
https://huggingface.co/isbondarev/gigachat_3.1_smartsearch_sft_adapter/resolve/main/training_args.bin
- Command line
-
hf download hf://isbondarev/gigachat_3.1_smartsearch_sft_adapter/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/isbondarev/gigachat_3.1_smartsearch_sft_adapter/resolve/main/training_args.bin
6.42 kB
- Xet hash:
- 8ff52151a3826b99d4ef060ae0b6232e7e7884276b4baba01664160bebe819ca
- Size of remote file:
- 6.42 kB
- SHA256:
- ec4d3c72d78d702819ae63e71c0e1753f451cdfd706ebac65dadfa6039077a60
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