Instructions to use tttx/models-feb18-block-mask-step2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tttx/models-feb18-block-mask-step2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/DeepSeek-R1-Distill-Qwen-32B") model = PeftModel.from_pretrained(base_model, "tttx/models-feb18-block-mask-step2") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from tttx/models-feb18-block-mask-step2: direct link, hf CLI and curl.
- Browser
- Download file 7.22 kB
-
https://huggingface.co/tttx/models-feb18-block-mask-step2/resolve/main/training_args.bin
- Command line
-
hf download hf://tttx/models-feb18-block-mask-step2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/tttx/models-feb18-block-mask-step2/resolve/main/training_args.bin
7.22 kB
- Xet hash:
- 90ea65d93227e881a1bc349cd6b6e25e16defe154b08628482f35c9f1521ab45
- Size of remote file:
- 7.22 kB
- SHA256:
- 356ec976e19d21e29137e2005668ffd19daa85ae7adff1b7fdb1fc6f5ee58a24
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