Instructions to use unicamp-dl/mt5-13b-mmarco-100k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use unicamp-dl/mt5-13b-mmarco-100k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("unicamp-dl/mt5-13b-mmarco-100k") model = AutoModelForSeq2SeqLM.from_pretrained("unicamp-dl/mt5-13b-mmarco-100k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d925e66835755f5c3474673df90186d4cd9542f5a8f25e1be18d3d561d75fc23
- Size of remote file:
- 19.9 GB
- SHA256:
- 4f404494f155d6815798125f88f190dd9ed43db5b754dd6b9acd13928bfa90f6
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