Instructions to use TheFloatingString/qwen3-0.6b-sft-capybara with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use TheFloatingString/qwen3-0.6b-sft-capybara with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-0.6B") model = PeftModel.from_pretrained(base_model, "TheFloatingString/qwen3-0.6b-sft-capybara") - Transformers
How to use TheFloatingString/qwen3-0.6b-sft-capybara with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TheFloatingString/qwen3-0.6b-sft-capybara", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from TheFloatingString/qwen3-0.6b-sft-capybara: direct link, hf CLI and curl.
- Browser
- Download file 9.27 MB
-
https://huggingface.co/TheFloatingString/qwen3-0.6b-sft-capybara/resolve/main/optimizer.pt
- Command line
-
hf download hf://TheFloatingString/qwen3-0.6b-sft-capybara/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/TheFloatingString/qwen3-0.6b-sft-capybara/resolve/main/optimizer.pt
9.27 MB
- Xet hash:
- 0af0fde48125b8bd4612dfc67dbf96b8487c6b66918024943b0150f2a190712e
- Size of remote file:
- 9.27 MB
- SHA256:
- 4e32866da48e0ba7840ca1855ee450580126b12386b4f6e6e2e74653ea0e89cd
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