Instructions to use SoAnVa/lora_poker_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SoAnVa/lora_poker_model with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceTB/SmolLM2-135M") model = PeftModel.from_pretrained(base_model, "SoAnVa/lora_poker_model") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from SoAnVa/lora_poker_model: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/SoAnVa/lora_poker_model/resolve/main/training_args.bin
- Command line
-
hf download hf://SoAnVa/lora_poker_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/SoAnVa/lora_poker_model/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- ba686a9a85f43e52063e5dd5de1ec430a086919acefc89d494797fb1b63bb374
- Size of remote file:
- 5.3 kB
- SHA256:
- b1de24a4f658f25bc557b19c3cf10642709679c3667fb36499704e04b17000ae
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