Instructions to use MustEr/bert_locked with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MustEr/bert_locked with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="MustEr/bert_locked")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("MustEr/bert_locked") model = AutoModelForMaskedLM.from_pretrained("MustEr/bert_locked") - Notebooks
- Google Colab
- Kaggle
Commit History
testX 0878b08
Must Erhang commited on
add tokenizer 13ddfce
Must Erhang commited on
test2 0393441
Must Erhang commited on
h5 model as it should be fcf2162
Must Erhang commited on