Instructions to use DanielNRU/pollen-ner2-700 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DanielNRU/pollen-ner2-700 with PEFT:
from peft import PeftModel from transformers import AutoModelForTokenClassification base_model = AutoModelForTokenClassification.from_pretrained("DeepPavlov/bert-base-bg-cs-pl-ru-cased") model = PeftModel.from_pretrained(base_model, "DanielNRU/pollen-ner2-700") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 538391d1755e150524bbbb676714961ea5bda6b2340e037fa465e330f58dd2a5
- Size of remote file:
- 5.84 kB
- SHA256:
- f525f1f2a3b05cec05bfef23480dddaf7efe86061b6412061c27d932685d81b5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.