Instructions to use sajjadamjad/ghostwriter-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sajjadamjad/ghostwriter-v2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "sajjadamjad/ghostwriter-v2") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from sajjadamjad/ghostwriter-v2: direct link, hf CLI and curl.
- Browser
- Download file 8.56 MB
-
https://huggingface.co/sajjadamjad/ghostwriter-v2/resolve/main/optimizer.pt
- Command line
-
hf download hf://sajjadamjad/ghostwriter-v2/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/sajjadamjad/ghostwriter-v2/resolve/main/optimizer.pt
8.56 MB
- Xet hash:
- 187195450742f562eab2d66c4fb8938644825bef03ce314a5473bce77ba7ee77
- Size of remote file:
- 8.56 MB
- SHA256:
- 1aa74d6a6dbb5399509fc6320aada7c9c3774de24f57666ed8d6bdc8a3247d58
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