Instructions to use ErrorAI/24da95bb-c4ee-4b03-b4aa-9dcacc41a0dd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ErrorAI/24da95bb-c4ee-4b03-b4aa-9dcacc41a0dd with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("defog/sqlcoder-7b-2") model = PeftModel.from_pretrained(base_model, "ErrorAI/24da95bb-c4ee-4b03-b4aa-9dcacc41a0dd") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/adapter_model.safetensors from ErrorAI/24da95bb-c4ee-4b03-b4aa-9dcacc41a0dd: direct link, hf CLI and curl.
- Browser
- Download file 80 MB
-
https://huggingface.co/ErrorAI/24da95bb-c4ee-4b03-b4aa-9dcacc41a0dd/resolve/978bba38cbf64b7a93793e6022265c99ba244e3b/last-checkpoint/adapter_model.safetensors
- Command line
-
hf download hf://ErrorAI/24da95bb-c4ee-4b03-b4aa-9dcacc41a0dd@978bba38cbf64b7a93793e6022265c99ba244e3b/last-checkpoint/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/ErrorAI/24da95bb-c4ee-4b03-b4aa-9dcacc41a0dd/resolve/978bba38cbf64b7a93793e6022265c99ba244e3b/last-checkpoint/adapter_model.safetensors
80 MB
- Xet hash:
- f231b3fe1c9055075835fc21ab35f9858fa6e150945bebfd08979d6bd3cd006b
- Size of remote file:
- 80 MB
- SHA256:
- 31121ad408a2b4bb05f86e3bdf67cf857c2e3f51db09e0d73446c2e02c6c8392
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.