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:
- b43597e3171466cce8b743cb5f6da6f45b903985b9d02a4ee4ff545af260876d
- Size of remote file:
- 20 GB
- SHA256:
- 7d38ece7d492e2973a00c0eda72e7281255271063608aa3e5e1a64203abddf1f
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