Instructions to use ydshieh/tiny-random-BertForMaskedLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ydshieh/tiny-random-BertForMaskedLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ydshieh/tiny-random-BertForMaskedLM")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ydshieh/tiny-random-BertForMaskedLM") model = AutoModelForMaskedLM.from_pretrained("ydshieh/tiny-random-BertForMaskedLM") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
d0889b8 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:0a82353efb77dbe1fd77fa9bee78260db25d8ca6b14ee42ef672394dee7ca428
size 388756
|