Instructions to use mohammadmahdinouri/mol-large-init with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mohammadmahdinouri/mol-large-init with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mohammadmahdinouri/mol-large-init")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("mohammadmahdinouri/mol-large-init", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update config.json
Verified signaturef9e0411 -
Update config.json
Verified signature19a7e90
-
Upload ModernALBERTForMaskedLM
Verified signaturee46b07a -
Upload ModernALBERTForMaskedLM
Verified signature5422eed -
Upload ModernALBERTForMaskedLM
Verified signature52ba0ce -
Upload ModernALBERTForMaskedLM
Verified signature90fbfb8 -
Upload ModernALBERTForMaskedLM
Verified signature11589c1 -
initial commit
Verified signature5ec45e6