Instructions to use Maxscha/bert-test-aligned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Maxscha/bert-test-aligned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Maxscha/bert-test-aligned", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Maxscha/bert-test-aligned", trust_remote_code=True) model = AutoModelForMaskedLM.from_pretrained("Maxscha/bert-test-aligned", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1f6df31e131812e9d385a5f85ebdbe42f5e250aab8b7f13e6b9fb913cbdd5545
- Size of remote file:
- 3.15 GB
- SHA256:
- c59ff6c1d4c88976be205deb6baf21df65a16490138ab4ce687a4b80ad393436
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.