Instructions to use greatakela/bert-base-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use greatakela/bert-base-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="greatakela/bert-base-cased")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("greatakela/bert-base-cased") model = AutoModelForTokenClassification.from_pretrained("greatakela/bert-base-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from greatakela/bert-base-cased: direct link, hf CLI and curl.
- Browser
- Download file 669 kB
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https://huggingface.co/greatakela/bert-base-cased/resolve/main/tokenizer.json
- Command line
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hf download hf://greatakela/bert-base-cased/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/greatakela/bert-base-cased/resolve/main/tokenizer.json
669 kB
File too large to display, you can check the raw version instead.