Instructions to use gaunernst/bert-mini-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gaunernst/bert-mini-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="gaunernst/bert-mini-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("gaunernst/bert-mini-uncased") model = AutoModelForMaskedLM.from_pretrained("gaunernst/bert-mini-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 93789663fa2437b3559b7c6f567c8e4f53a51941f3a62120b79b196010dac628
- Size of remote file:
- 45.1 MB
- SHA256:
- 4bc23f27063c8813cfc012cd7bcaa2bc029edca0fb8be6bfacec1c94ba7e36f5
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