Instructions to use seduerr/fuser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seduerr/fuser with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("seduerr/fuser") model = AutoModelForSeq2SeqLM.from_pretrained("seduerr/fuser") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b78336ca7936687bfa97131e51518f901d4d5966d2f3ee0754fc0623cc07735
- Size of remote file:
- 892 MB
- SHA256:
- a45773bb687734f2676b288f7441b7d699f8325ee06bae65a11c8ddd8061649c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.