Instructions to use dsrestrepo/BERT_Lab_Values with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dsrestrepo/BERT_Lab_Values with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dsrestrepo/BERT_Lab_Values")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dsrestrepo/BERT_Lab_Values") model = AutoModelForMaskedLM.from_pretrained("dsrestrepo/BERT_Lab_Values", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- abe95e0d9daeb5b50fd27462e88451cfecc299c1b02ec50cde54538170b39fb4
- Size of remote file:
- 346 MB
- SHA256:
- 8a76e376bf462780cf66c81e2ba995b25c0613886b540013a141ca84821e0074
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