Instructions to use dzanbek/cec38bd5-1385-4a38-9ba3-bf6ac2889600 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dzanbek/cec38bd5-1385-4a38-9ba3-bf6ac2889600 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/mistral-7b-v0.2") model = PeftModel.from_pretrained(base_model, "dzanbek/cec38bd5-1385-4a38-9ba3-bf6ac2889600") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9cd2fe5e72b8a43a7ecd555a74ed69b84e6c884e38a9123c4899abacb3ec74e4
- Size of remote file:
- 6.78 kB
- SHA256:
- 1c775cad06ab07b64f399ec5d1c036d5b2f19407f827e838a5b336bc95918840
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.