Instructions to use unicamp-dl/mt5-base-mmarco-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use unicamp-dl/mt5-base-mmarco-v1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("unicamp-dl/mt5-base-mmarco-v1") model = AutoModelForSeq2SeqLM.from_pretrained("unicamp-dl/mt5-base-mmarco-v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 18c0489e761379d4a0353b01a5d1131c2e93e9e0ceddf1c4d163709b44569332
- Size of remote file:
- 2.33 GB
- SHA256:
- 9090b53e4195e8cc300d795537a576ed93e8e82d2214991fee3f99be00868fef
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