Instructions to use ramimu/ali-ai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ramimu/ali-ai with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.2") model = PeftModel.from_pretrained(base_model, "ramimu/ali-ai") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ramimu/ali-ai: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/ramimu/ali-ai/resolve/main/training_args.bin
- Command line
-
hf download hf://ramimu/ali-ai/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ramimu/ali-ai/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- e63d0b1e9e23286c2e2ad20942e59da747b5f8b81e106de38b2222657d7520fe
- Size of remote file:
- 5.18 kB
- SHA256:
- 451ea05a0196edc64a345b0220cd5e4f39763b61e221cb2fb962fe82628ca593
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