Instructions to use allenliuvip/spacethinker-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use allenliuvip/spacethinker-lora 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, "allenliuvip/spacethinker-lora") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from allenliuvip/spacethinker-lora: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/allenliuvip/spacethinker-lora/resolve/main/tokenizer.json
- Command line
-
hf download hf://allenliuvip/spacethinker-lora/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/allenliuvip/spacethinker-lora/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- f8d5dc3430f301e3334c34268c690e5b8dfdc152b46f525db04e968ddb6379ba
- Size of remote file:
- 11.4 MB
- SHA256:
- ba0c439f7be467bf47d12a7e6f9adc6116201056fc60c67f431c679b7c16afc8
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