Instructions to use sofyc/Phi-3.5-MultiCap-tool-embedding-proj with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sofyc/Phi-3.5-MultiCap-tool-embedding-proj with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3.5-mini-instruct") model = PeftModel.from_pretrained(base_model, "sofyc/Phi-3.5-MultiCap-tool-embedding-proj") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a7b38286d4eedb8ae131ed14d665e33cf824f48a9fb2eeef53c1c8fa2ffb9db3
- Size of remote file:
- 5.5 kB
- SHA256:
- a3c1a945d38a369b419a52b6220cf49db729e54362d9da4318b85030fe24bd6d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.