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:
- 2f01482c81e0effcb65b3981a010ca12c698da62a7df10915bd0c29d84b93817
- Size of remote file:
- 67.2 MB
- SHA256:
- 5f8fc240de1f0a70001a613152d4bc11c52dfa0177198c416c97c85ac789881c
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