Instructions to use joeranbosma/dragon-bert-base-domain-specific with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joeranbosma/dragon-bert-base-domain-specific with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="joeranbosma/dragon-bert-base-domain-specific")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("joeranbosma/dragon-bert-base-domain-specific") model = AutoModelForMaskedLM.from_pretrained("joeranbosma/dragon-bert-base-domain-specific", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 28701e05ec80fbddfb6da60059c92c5038aac3746e4d4b0c7ab338327bbffa25
- Size of remote file:
- 499 MB
- SHA256:
- 8cab2b29959cb14850c7d38e6002d6248ffcccbe3b29f52db00c7bad6c724671
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