Instructions to use buerokratt/bert-truecaser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use buerokratt/bert-truecaser with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="buerokratt/bert-truecaser")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("buerokratt/bert-truecaser") model = AutoModelForTokenClassification.from_pretrained("buerokratt/bert-truecaser", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:877062bdb80ef2e462d2c4255daab5a9332ab39d51b41ce60845999414fd8634
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size 495439780
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