Fill-Mask
Transformers
Safetensors
modchembert
modernbert
ModChemBERT
cheminformatics
chemical-language-model
custom_code
Instructions to use Derify/ModChemBERT-IR-BASE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Derify/ModChemBERT-IR-BASE with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Derify/ModChemBERT-IR-BASE", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("Derify/ModChemBERT-IR-BASE", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 65f95121499cfc37ebfe8caa02b7b039f2d0e30270438bb461ba59587a4c1e18
- Size of remote file:
- 399 MB
- SHA256:
- 5d213c4cf107cb25234351be1c000c35e5353cd9faced047d57f2bb3d9680fc4
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