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 tokenizer.json from SoAnVa/lora_poker_model: direct link, hf CLI and curl.
- Browser
- Download file 3.52 MB
-
https://huggingface.co/SoAnVa/lora_poker_model/resolve/main/tokenizer.json
- Command line
-
hf download hf://SoAnVa/lora_poker_model/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/SoAnVa/lora_poker_model/resolve/main/tokenizer.json
3.52 MB
File too large to display, you can check the raw version instead.