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:
- c36b94f5e4cb02b88d73b83d6d46c7b9e6196e2802c86249f3b0f4ae4e3d363f
- Size of remote file:
- 2.57 MB
- SHA256:
- 1676f5bfc73d8a14b51da588b815b7c0158a0e33db9522ea1d409720bcc7dca1
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