Instructions to use NavyaAI/phi-3-finbot-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NavyaAI/phi-3-finbot-LoRA with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("NavyaAI/phi-3-finbot-LoRA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from NavyaAI/phi-3-finbot-LoRA: direct link, hf CLI and curl.
- Browser
- Download file 18.9 MB
-
https://huggingface.co/NavyaAI/phi-3-finbot-LoRA/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://NavyaAI/phi-3-finbot-LoRA/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/NavyaAI/phi-3-finbot-LoRA/resolve/main/adapter_model.safetensors
18.9 MB
- Xet hash:
- 95b02e600ac8cbba73f7835a5504b5f851aa4e63fd593c0a7dfb7b92113ddae9
- Size of remote file:
- 18.9 MB
- SHA256:
- 9e15beddb300ffdfffe295a339c139790acf160d1df15e2d3848610b87cea4bc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.