Instructions to use CambridgeMolecularEngineering/bert-base-uncased-scsmall with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CambridgeMolecularEngineering/bert-base-uncased-scsmall with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="CambridgeMolecularEngineering/bert-base-uncased-scsmall")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("CambridgeMolecularEngineering/bert-base-uncased-scsmall") model = AutoModelForMaskedLM.from_pretrained("CambridgeMolecularEngineering/bert-base-uncased-scsmall") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened about 1 year ago
by
SFconvertbot