Instructions to use qhz991029/spaceom-3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use qhz991029/spaceom-3b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("UCSC-VLAA/VLAA-Thinker-Qwen2.5VL-3B") model = PeftModel.from_pretrained(base_model, "qhz991029/spaceom-3b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4fdb20def5c66f1839ef6025a6ef7d91714b123cb0d032dfcca35eca88f3e77b
- Size of remote file:
- 5.56 kB
- SHA256:
- 83f82584880293b0889888373a8e554b53e68a27f5f26e933ad55fb2be131b38
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