Instructions to use devsomosahub/agent-os-adapter-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devsomosahub/agent-os-adapter-7b with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("devsomosahub/agent-os-adapter-7b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from devsomosahub/agent-os-adapter-7b: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/devsomosahub/agent-os-adapter-7b/resolve/main/tokenizer.json
- Command line
-
hf download hf://devsomosahub/agent-os-adapter-7b/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/devsomosahub/agent-os-adapter-7b/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 4d272cd0ce1484bc7fcd4ec85b3778d1781fac6cd2c0d0bc6ef8917c193e4906
- Size of remote file:
- 11.4 MB
- SHA256:
- 145191e3b102f64e84dab1926006ee71528c1ea536df048ef9ff6c48d01f95de
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.