Instructions to use VERSIL91/8c1d4c55-69a3-4be4-a876-d3098c74c1a5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VERSIL91/8c1d4c55-69a3-4be4-a876-d3098c74c1a5 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("migtissera/Tess-v2.5-Phi-3-medium-128k-14B") model = PeftModel.from_pretrained(base_model, "VERSIL91/8c1d4c55-69a3-4be4-a876-d3098c74c1a5") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from VERSIL91/8c1d4c55-69a3-4be4-a876-d3098c74c1a5: direct link, hf CLI and curl.
- Browser
- Download file 111 MB
-
https://huggingface.co/VERSIL91/8c1d4c55-69a3-4be4-a876-d3098c74c1a5/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://VERSIL91/8c1d4c55-69a3-4be4-a876-d3098c74c1a5/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/VERSIL91/8c1d4c55-69a3-4be4-a876-d3098c74c1a5/resolve/main/adapter_model.safetensors
111 MB
- Xet hash:
- ba5b106436e1915db05abac47c3dc2c176db9776b10faf2d9ca67803e442cc51
- Size of remote file:
- 111 MB
- SHA256:
- baeab59fdd9a79b90fac23801cb3fe248d5eedcbcf37d80ebbd9c005ba8f837b
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