Instructions to use DanielNRU/pollen-ner-450 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DanielNRU/pollen-ner-450 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-450") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fe48d973cabfea7a7786cafe92cc1c01527d5af57f1823e4db3195952116b08a
- Size of remote file:
- 5.84 kB
- SHA256:
- 41929edd4b4b6a6b6d82d83eb7771443af698f836fa73ac3a76ca1e75b1275b8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.