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
mbart-oscar-hindi-gen / runs /Dec30_11-43-58_c18c345cffbe /events.out.tfevents.1735562811.c18c345cffbe.814.1
- Xet hash:
- 72441d8c8dc84d968e48258b0e2f502d33fbc13a6a33293ca553b3a9892eb4dd
- Size of remote file:
- 359 Bytes
- SHA256:
- c6b7958f35269acc60cd6f9fc8353f824e22f4fb6f54c09cd6662aefecf23b01
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