Instructions to use drkareemkamal/finetunePathologicalTextUsingBioBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use drkareemkamal/finetunePathologicalTextUsingBioBERT with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("emilyalsentzer/Bio_ClinicalBERT") model = PeftModel.from_pretrained(base_model, "drkareemkamal/finetunePathologicalTextUsingBioBERT") - Transformers
How to use drkareemkamal/finetunePathologicalTextUsingBioBERT with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("drkareemkamal/finetunePathologicalTextUsingBioBERT", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 213f4e608a465c45793dc4ffac6ce0cb931e711ae6eea478486d8367a10e287c
- Size of remote file:
- 4.98 kB
- SHA256:
- b39a45fc4cf50aff6866ab810b07f73dc7d4188356524c4d0e019e40741a4ffe
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.