Instructions to use hung200504/bert-24.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hung200504/bert-24.2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hung200504/bert-24.2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hung200504/bert-24.2") model = AutoModelForQuestionAnswering.from_pretrained("hung200504/bert-24.2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from hung200504/bert-24.2: direct link, hf CLI and curl.
- Browser
- Download file 669 kB
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https://huggingface.co/hung200504/bert-24.2/resolve/5e427f7ce89cf3e2205f833216c96aec048b6ec7/tokenizer.json
- Command line
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hf download hf://hung200504/bert-24.2@5e427f7ce89cf3e2205f833216c96aec048b6ec7/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/hung200504/bert-24.2/resolve/5e427f7ce89cf3e2205f833216c96aec048b6ec7/tokenizer.json
669 kB
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