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, | |
| "eval_loss": 0.3744058609008789, | |
| "eval_masked_accuracy": 0.8805643239064613, | |
| "eval_perplexity": 1.454127204085947, | |
| "eval_runtime": 2.8656, | |
| "eval_samples_per_second": 1429.379, | |
| "eval_steps_per_second": 5.584 | |
| } |