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
- Xet hash:
- 34b06d3dc01ecea508a17d6461a1935b122f6d812879a31299a2fd9a9914b379
- Size of remote file:
- 2.86 GB
- SHA256:
- fa2c94be8448da6882925658b9906f5761adea5b83767c049f38dd2f00864f1b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.