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