Instructions to use VeraKrasnobaeva/collocations_processor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VeraKrasnobaeva/collocations_processor with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("yandex/YandexGPT-5-Lite-8B-instruct") model = PeftModel.from_pretrained(base_model, "VeraKrasnobaeva/collocations_processor") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d3b54898bc5a5e65b54e4f0ac3d8ef8227b287b8792a20ebff07f6bc8cf212e4
- Size of remote file:
- 336 MB
- SHA256:
- ea2c1ea8ee356ba1a3d1eb821fb15214f527c1b665b5eb82a3852b7f850c8133
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