Instructions to use bstad/a-different-bert-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bstad/a-different-bert-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="bstad/a-different-bert-model")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("bstad/a-different-bert-model") model = AutoModelForMaskedLM.from_pretrained("bstad/a-different-bert-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
12da77e | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:c780eb549abfb85d70f56e7b6c34e0e4231e39bd31f61c4f1ba4c2cdf7a673b4
size 433445163
|