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
- Xet hash:
- a41c29af6d3bed96903ea5847be374aead9a46324d4f736ce35981fc99a89398
- Size of remote file:
- 1.34 GB
- SHA256:
- 87f7e4d1cf3ae8475bd5b67925e567a7a8c87a3d3a1bfd929b83f6bd746a26f4
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