Instructions to use coppercitylabs/uzbert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use coppercitylabs/uzbert-base-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="coppercitylabs/uzbert-base-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("coppercitylabs/uzbert-base-uncased") model = AutoModelForMaskedLM.from_pretrained("coppercitylabs/uzbert-base-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2aaa3f3658941e4bb8176e7a6b7f2376611c2e534097ba26bcaeb16edf9c6295
- Size of remote file:
- 437 MB
- SHA256:
- b3d626d7b124b38437492d465aaab46841d1a876427d4be2cac427e7060b9ac7
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