Instructions to use DanielNRU/pollen-ner-150 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DanielNRU/pollen-ner-150 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-150") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f6f69739612534691f401d4390b9027c7ee5317bddee78ee189a7a4292332360
- Size of remote file:
- 5.84 kB
- SHA256:
- 03b0b5df547411c8b7dc3f8a3343ee116baae047447dabcc5af0615eff46c52a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.