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 tokenizer.json from isbondarev/gigachat_3.1_smartsearch_sft_adapter: direct link, hf CLI and curl.
- Browser
- Download file 10.7 MB
-
https://huggingface.co/isbondarev/gigachat_3.1_smartsearch_sft_adapter/resolve/main/tokenizer.json
- Command line
-
hf download hf://isbondarev/gigachat_3.1_smartsearch_sft_adapter/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/isbondarev/gigachat_3.1_smartsearch_sft_adapter/resolve/main/tokenizer.json
10.7 MB
- Xet hash:
- a4e347780d8cbb0c4c942c5715eb48accb672c58e3c7543d4e08136138655464
- Size of remote file:
- 10.7 MB
- SHA256:
- 9b12bf74d46dff311b65556c116167cb33f0e94cf2a4e2b7f82feeeae8eef596
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