Instructions to use philschmid/bert-base-uncased-2022-habana-test-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use philschmid/bert-base-uncased-2022-habana-test-3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="philschmid/bert-base-uncased-2022-habana-test-3")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("philschmid/bert-base-uncased-2022-habana-test-3") model = AutoModelForMaskedLM.from_pretrained("philschmid/bert-base-uncased-2022-habana-test-3") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot