Instructions to use ZoeMC/chemT5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZoeMC/chemT5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ZoeMC/chemT5") model = AutoModelForSeq2SeqLM.from_pretrained("ZoeMC/chemT5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Saving weights and logs of step 50000
d27f78a -
Saving weights and logs of step 40000
1db3c08 -
Saving weights and logs of step 30000
f5e4a3d -
Saving weights and logs of step 20000
78cb1ca -
Saving weights and logs of step 10000
0ab88d6
-
Saving weights and logs of step 10000
fd41599 -
vocab
ec4d372 -
before_train
5b8d6fc
-
initial commit
6df91a1