How to use from the
Use from the
Transformers library
# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

tokenizer = AutoTokenizer.from_pretrained("laituan245/molt5-base")
model = AutoModelForSeq2SeqLM.from_pretrained("laituan245/molt5-base", device_map="auto")
Quick Links

Example Usage

from transformers import AutoTokenizer, T5ForConditionalGeneration

tokenizer = AutoTokenizer.from_pretrained("laituan245/molt5-base", model_max_length=512)
model = T5ForConditionalGeneration.from_pretrained('laituan245/molt5-base')

Paper

For more information, please take a look at our paper.

Paper: Translation between Molecules and Natural Language

Authors: Carl Edwards*, Tuan Lai*, Kevin Ros, Garrett Honke, Heng Ji

Downloads last month
3,484
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for laituan245/molt5-base

Finetunes
2 models

Spaces using laituan245/molt5-base 2

Paper for laituan245/molt5-base