Instructions to use sultan/BioM-ELECTRA-Large-Generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sultan/BioM-ELECTRA-Large-Generator with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="sultan/BioM-ELECTRA-Large-Generator")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("sultan/BioM-ELECTRA-Large-Generator") model = AutoModelForMaskedLM.from_pretrained("sultan/BioM-ELECTRA-Large-Generator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3f7bc96c83a0d49ceca4c6a0a40a5312c8da616c51b90fb090eb0b2351c07d23
- Size of remote file:
- 199 MB
- SHA256:
- bd5aa921b909fd18fa79b9b14f9a3d37e0056f818404e9fcc263bc3708dc9286
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