Instructions to use julien-c/bert-base-uncased-duplicate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use julien-c/bert-base-uncased-duplicate with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="julien-c/bert-base-uncased-duplicate")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("julien-c/bert-base-uncased-duplicate") model = AutoModelForMaskedLM.from_pretrained("julien-c/bert-base-uncased-duplicate") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
0fc4bf1 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:ea201fabe466ef7182f1f687fb5be4b62a73d3a78883f11264ff7f682cdb54bf
size 438064459
|