Instructions to use sajjadamjad/ghostwrite_v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sajjadamjad/ghostwrite_v3 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/ghostwrite_v3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f209beddf0549466aeea23792eec88481c0db8a54f02b1d503675fc97433fa63
- Size of remote file:
- 4.73 kB
- SHA256:
- 1439b85efb793839e2667af480ba02733acab25873526afb2e227ba5a0b09961
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