Instructions to use Addy1008/adarsh-mBART-codemixed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Addy1008/adarsh-mBART-codemixed with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Addy1008/adarsh-mBART-codemixed") model = AutoModelForSeq2SeqLM.from_pretrained("Addy1008/adarsh-mBART-codemixed", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a14d5acd69b5becc9a1ab31ba5747e9bb5659c86b7af6755630719c8a15619c3
- Size of remote file:
- 2.44 GB
- SHA256:
- 08b9e6d8f5d8493efb32a8e53d07eb049b160d1db4dcce3048a91256d06fc048
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