Fill-Mask
Transformers
Safetensors
modernbert
chemistry
molecules
selfies
ape-tokenizer
masked-language-modeling
Instructions to use HauserGroup/ModernMolBERT-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HauserGroup/ModernMolBERT-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HauserGroup/ModernMolBERT-small")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("HauserGroup/ModernMolBERT-small") model = AutoModelForMaskedLM.from_pretrained("HauserGroup/ModernMolBERT-small") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 3.066, | |
| "num_parameters": 34149495.0, | |
| "total_flos": 9.74439612930639e+16, | |
| "train_loss": 0.6228721523284912, | |
| "train_runtime": 2832.8619, | |
| "train_samples_per_second": 2711.039, | |
| "train_samples_streaming": 7680000.0, | |
| "train_steps_per_second": 10.59 | |
| } |