Instructions to use tjasad/loha_fine_tuned_boolq_XLMroberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tjasad/loha_fine_tuned_boolq_XLMroberta with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("xlm-roberta-base") model = PeftModel.from_pretrained(base_model, "tjasad/loha_fine_tuned_boolq_XLMroberta") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6991024afa3b32af5fc3ce4bbc45fb7c03ac006d862cdc6b9214bdc3687e4a99
- Size of remote file:
- 4.98 kB
- SHA256:
- d21ad0abd85edec6d2d42c8dafa0c1600404a693f73d5d63ccc4aa02e3ec9c71
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.