How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("fill-mask", model="DeepChem/ChemBERTa-10M-MLM")
# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM

tokenizer = AutoTokenizer.from_pretrained("DeepChem/ChemBERTa-10M-MLM")
model = AutoModelForMaskedLM.from_pretrained("DeepChem/ChemBERTa-10M-MLM", device_map="auto")
Quick Links

No model card

Downloads last month
4,161
Inference Providers NEW
Examples
Mask token: [MASK]

Model tree for DeepChem/ChemBERTa-10M-MLM

Finetunes
1 model

Spaces using DeepChem/ChemBERTa-10M-MLM 4