Instructions to use zjunlp/MolGen-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zjunlp/MolGen-large with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("zjunlp/MolGen-large") model = AutoModelForSeq2SeqLM.from_pretrained("zjunlp/MolGen-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from zjunlp/MolGen-large: direct link, hf CLI and curl.
- Browser
- Download file 1.42 GB
-
https://huggingface.co/zjunlp/MolGen-large/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://zjunlp/MolGen-large/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/zjunlp/MolGen-large/resolve/main/pytorch_model.bin
1.42 GB
- Xet hash:
- 1b56df3822c570c27866fa0243e9d0b01e89faad6e677bc01922cc90bb48a3a4
- Size of remote file:
- 1.42 GB
- SHA256:
- 216e6ef79643d96cd9c8eb98eac316aaf93f0acd41581849ffb2557d34679432
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