Instructions to use beast33/f845d199-ee0f-4007-b8d6-b70cc601cec7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use beast33/f845d199-ee0f-4007-b8d6-b70cc601cec7 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-7B-Instruct") model = PeftModel.from_pretrained(base_model, "beast33/f845d199-ee0f-4007-b8d6-b70cc601cec7") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0d814586e8b7387f70fc1a73d73a16e7e57f32b8fa9d8b62d3b56f14d0f7540c
- Size of remote file:
- 80.9 MB
- SHA256:
- 5ccb8a99be2a4e4708611ff89e38c2a46d2a193c16b54d537e488d109eff623a
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