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
- Xet hash:
- e0121b334132a7b10fd98636b2321d815af1f17620f1d3487736fd19cbc7d690
- Size of remote file:
- 59 MB
- SHA256:
- c0a3323a1ba6eb781c081f9bbb6f068a34876b066f70fbf7623459830044f107
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