Instructions to use RefalMachine/llm_test_unigram_saiga with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use RefalMachine/llm_test_unigram_saiga with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("RefalMachine/llm_test_unigram") model = PeftModel.from_pretrained(base_model, "RefalMachine/llm_test_unigram_saiga") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a52b6e2fffb5d27de355dd31e11431517f94a98d79f305dbeb188964ab5fc87f
- Size of remote file:
- 1.01 MB
- SHA256:
- 22ae0ac060bfed5f12c495732c9954f6f8c3485a745eca5d9092c5c07dcae0d1
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