Instructions to use Mutonix/Vriptor-STLLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mutonix/Vriptor-STLLM with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("Mutonix/Vriptor-STLLM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model-00002-of-00002.bin from Mutonix/Vriptor-STLLM: direct link, hf CLI and curl.
- Browser
- Download file 5.87 GB
-
https://huggingface.co/Mutonix/Vriptor-STLLM/resolve/main/pytorch_model-00002-of-00002.bin
- Command line
-
hf download hf://Mutonix/Vriptor-STLLM/pytorch_model-00002-of-00002.bin
-
curl -L -o pytorch_model-00002-of-00002.bin https://huggingface.co/Mutonix/Vriptor-STLLM/resolve/main/pytorch_model-00002-of-00002.bin
5.87 GB
- Xet hash:
- 631fc26904b670419e1653f69cb1328032f4bb3f6a808dbb02aec8c450c4f55b
- Size of remote file:
- 5.87 GB
- SHA256:
- 78274d5da43a0421ff87c649de6caa6380423d6e0a022bf79353901e5e696e0f
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