Instructions to use KGan31/Doha-Gen-Stage2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KGan31/Doha-Gen-Stage2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("KGan31/Doha-Gen-Stage2") model = AutoModelForSeq2SeqLM.from_pretrained("KGan31/Doha-Gen-Stage2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c675f9bff4076f0117546a00b9d20dbda5e11e143074adf16bbd7305e891a489
- Size of remote file:
- 5.33 kB
- SHA256:
- e0a96a6f359425aba007c5170d5123610ef7edb45bfd541ea4931792b13084bd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.