Instructions to use shibajustfor/ca090f5f-b8c0-437a-9443-917c9d145d03 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use shibajustfor/ca090f5f-b8c0-437a-9443-917c9d145d03 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/CodeLlama-7b-hf") model = PeftModel.from_pretrained(base_model, "shibajustfor/ca090f5f-b8c0-437a-9443-917c9d145d03") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from shibajustfor/ca090f5f-b8c0-437a-9443-917c9d145d03: direct link, hf CLI and curl.
- Browser
- Download file 41.1 MB
-
https://huggingface.co/shibajustfor/ca090f5f-b8c0-437a-9443-917c9d145d03/resolve/55ea81c4929b3e2c75e6c0b19496c0fb4df5afb8/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://shibajustfor/ca090f5f-b8c0-437a-9443-917c9d145d03@55ea81c4929b3e2c75e6c0b19496c0fb4df5afb8/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/shibajustfor/ca090f5f-b8c0-437a-9443-917c9d145d03/resolve/55ea81c4929b3e2c75e6c0b19496c0fb4df5afb8/last-checkpoint/optimizer.pt
41.1 MB
- Xet hash:
- 620321433d431e448cec52d65e9bc163b35948ef3b950d7081ba954d81d80919
- Size of remote file:
- 41.1 MB
- SHA256:
- 4c194ded9d8988cfe4dfe784bae6644d465952cd93cb8e0540a7e4b1a57d4dab
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