Instructions to use unicamp-dl/mt5-base-en-pt-msmarco-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use unicamp-dl/mt5-base-en-pt-msmarco-v2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("unicamp-dl/mt5-base-en-pt-msmarco-v2") model = AutoModelForSeq2SeqLM.from_pretrained("unicamp-dl/mt5-base-en-pt-msmarco-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from unicamp-dl/mt5-base-en-pt-msmarco-v2: direct link, hf CLI and curl.
- Browser
- Download file 2.33 GB
-
https://huggingface.co/unicamp-dl/mt5-base-en-pt-msmarco-v2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://unicamp-dl/mt5-base-en-pt-msmarco-v2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/unicamp-dl/mt5-base-en-pt-msmarco-v2/resolve/main/pytorch_model.bin
2.33 GB
- Xet hash:
- 8bba5ca7ac9880f9cec35b711922e2e4b46fdcd7b73b45403b4b94edc8490dff
- Size of remote file:
- 2.33 GB
- SHA256:
- 10bb3be879804d41de9b1b94b61f4b9e8d2973766ee74618b52cce89c71fd753
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