Instructions to use DanielNRU/pollen-ner2-900 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DanielNRU/pollen-ner2-900 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-ner2-900") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 57c96d24966bb829ec892f812d2572de5766bb14a1415bfa0f218298e4058a56
- Size of remote file:
- 5.84 kB
- SHA256:
- aedda01159f570f6ef1a79e390c898e719093250c43cd92ce9f33671cdc88582
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.