Instructions to use doc2query/msmarco-italian-mt5-base-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use doc2query/msmarco-italian-mt5-base-v1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("doc2query/msmarco-italian-mt5-base-v1") model = AutoModelForSeq2SeqLM.from_pretrained("doc2query/msmarco-italian-mt5-base-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from doc2query/msmarco-italian-mt5-base-v1: direct link, hf CLI and curl.
- Browser
- Download file 2.33 GB
-
https://huggingface.co/doc2query/msmarco-italian-mt5-base-v1/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://doc2query/msmarco-italian-mt5-base-v1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/doc2query/msmarco-italian-mt5-base-v1/resolve/main/pytorch_model.bin
2.33 GB
- Xet hash:
- 9932beecd77337e74f4e6312ab3189bc6968f9f6e8f12481a2b615f7fe236d37
- Size of remote file:
- 2.33 GB
- SHA256:
- e4a8dda9d65b77e28ff465ceb83fad33b8d68afdd257c0cc22e85fb6f8ea2c68
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