Instructions to use RefalMachine/llm_test_bpe_saiga with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use RefalMachine/llm_test_bpe_saiga with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("RefalMachine/llm_test_bpe") model = PeftModel.from_pretrained(base_model, "RefalMachine/llm_test_bpe_saiga") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5de2486f3d123029fb0230c8a452b138910badd124d4e450f575b0364aa400ce
- Size of remote file:
- 67.2 MB
- SHA256:
- cc5bf9714f7fee065a9bcbe212472ab70cf3d95b6d0cfa0cfaf951aaae2ad77b
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