Instructions to use vania2911/9000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vania2911/9000 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("vania2911/9000") model = AutoModelForSeq2SeqLM.from_pretrained("vania2911/9000", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 46ccb8a4d26ce169958fd13d09e4a46ee24c9f173c04faaef7e091984d975192
- Size of remote file:
- 5.56 kB
- SHA256:
- 3c0824e07e5718babafb4ea06774161ba16b3c71c65ee3763173030612319f82
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.