Instructions to use gaunernst/bert-medium-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gaunernst/bert-medium-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="gaunernst/bert-medium-uncased", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("gaunernst/bert-medium-uncased") model = AutoModelForMaskedLM.from_pretrained("gaunernst/bert-medium-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 491696a223340f3f694fc990d69c5b0eb1ea5f1b588a60ff4642a1821cbcf744
- Size of remote file:
- 167 MB
- SHA256:
- d5d9516658a9dcf9870cbddd8884112c72feb77c00964abaef8b97ea002a0d34
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