Instructions to use SoooSlooow/bert-base-aeslc-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SoooSlooow/bert-base-aeslc-5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="SoooSlooow/bert-base-aeslc-5")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("SoooSlooow/bert-base-aeslc-5") model = AutoModelForMaskedLM.from_pretrained("SoooSlooow/bert-base-aeslc-5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9dcb6afd6aa29d11f2289cf6bc07fb7064c80cf131f5fd74fa5b5a66eecd10d7
- Size of remote file:
- 4.66 kB
- SHA256:
- 9dadd7c1d5d4c5cd9be796247e5d956bb21283700af34c668d7edc24c2d4cc97
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.