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")# 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") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f24187de2d02850ee4d05a9e36640009d6fe8e428c7764458c8f7eeee0dc0977
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size 433391224
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