Instructions to use DanielNRU/pollen-ner-900 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DanielNRU/pollen-ner-900 with PEFT:
from peft import PeftModel from transformers import AutoModelForTokenClassification base_model = AutoModelForTokenClassification.from_pretrained("DeepPavlov/rubert-base-cased") model = PeftModel.from_pretrained(base_model, "DanielNRU/pollen-ner-900") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a7153ba08e38c860351c084100c61b4fee3f7f29d2d0021797d941046af9fc5c
- Size of remote file:
- 5.84 kB
- SHA256:
- f10d24e5ade30dbd92b54d56e839d316bf58f4ba7ec1bb515ceb8db39429ac10
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.