Instructions to use DanielNRU/pollen-ner-1600 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DanielNRU/pollen-ner-1600 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-1600") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 01401cb68504e6cf03ae6c669845a0d170a9b57465b11f078ae93f08e3d13fd5
- Size of remote file:
- 5.84 kB
- SHA256:
- 6057ff20a87cee492d7b348c5ae1e4b22d9bb535861a8869fe6e146d6f2f1a5e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.