Instructions to use AscoraDev/sitolub.molgen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AscoraDev/sitolub.molgen with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AscoraDev/sitolub.molgen")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("AscoraDev/sitolub.molgen") model = AutoModelForSeq2SeqLM.from_pretrained("AscoraDev/sitolub.molgen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| license: mit | |
| library_name: transformers | |
| pipeline_tag: feature-extraction | |
| tags: | |
| - chemistry | |
| - transformers | |
| # sitolub.molgen | |
| ``` | |