Instructions to use A-M-R-A-G/Basira with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use A-M-R-A-G/Basira with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-VL-3B-Instruct") model = PeftModel.from_pretrained(base_model, "A-M-R-A-G/Basira") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from A-M-R-A-G/Basira: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/A-M-R-A-G/Basira/resolve/main/training_args.bin
- Command line
-
hf download hf://A-M-R-A-G/Basira/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/A-M-R-A-G/Basira/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- c4594baf648a46664ca028c8a4a0c3b122d2584dde756f0acde24de7ed73e588
- Size of remote file:
- 5.37 kB
- SHA256:
- e5b4241fa9b471a25075dbd5527b88e7e814adc596f59e936505aee866789cd5
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