Instructions to use princeton-nlp/bert_large_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use princeton-nlp/bert_large_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="princeton-nlp/bert_large_1")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("princeton-nlp/bert_large_1") model = AutoModelForMaskedLM.from_pretrained("princeton-nlp/bert_large_1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
d6f584c | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:87f7e4d1cf3ae8475bd5b67925e567a7a8c87a3d3a1bfd929b83f6bd746a26f4
size 1340854571
|