Instructions to use guldasta/mbart-oscar-hindi-gen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use guldasta/mbart-oscar-hindi-gen with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("guldasta/mbart-oscar-hindi-gen") model = AutoModelForSeq2SeqLM.from_pretrained("guldasta/mbart-oscar-hindi-gen") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8234691486e6b38f6d8c6d37f99b9c5abff6b89a0994e996c3af62c91a977026
- Size of remote file:
- 5.3 kB
- SHA256:
- c5a7f8c6afb9a47afa86b5a1da1674977dd2cc88c7171a9df54187f6c054829e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.