Instructions to use arrafmousa/biot5plus-ChemGen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arrafmousa/biot5plus-ChemGen with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("arrafmousa/biot5plus-ChemGen") model = AutoModelForSeq2SeqLM.from_pretrained("arrafmousa/biot5plus-ChemGen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
Browse files- model.safetensors +1 -1
model.safetensors
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