Instructions to use mahfooz/bert-base-cased-dv-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mahfooz/bert-base-cased-dv-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mahfooz/bert-base-cased-dv-v2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mahfooz/bert-base-cased-dv-v2") model = AutoModelForMaskedLM.from_pretrained("mahfooz/bert-base-cased-dv-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from mahfooz/bert-base-cased-dv-v2: direct link, hf CLI and curl.
- Browser
- Download file 792 kB
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https://huggingface.co/mahfooz/bert-base-cased-dv-v2/resolve/main/tokenizer.json
- Command line
-
hf download hf://mahfooz/bert-base-cased-dv-v2/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/mahfooz/bert-base-cased-dv-v2/resolve/main/tokenizer.json
792 kB
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