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:
- 6809446d34327e0ffa0cf262d6894710220c4af334ffc92db33b8e2d97afc4dc
- Size of remote file:
- 15.9 GB
- SHA256:
- c92b26f0d850aaec51bb9d31826be3384f3590575caa9b22acc7188a909e7be1
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