Instructions to use BeIR/query-gen-msmarco-t5-large-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BeIR/query-gen-msmarco-t5-large-v1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("BeIR/query-gen-msmarco-t5-large-v1") model = AutoModelForSeq2SeqLM.from_pretrained("BeIR/query-gen-msmarco-t5-large-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from BeIR/query-gen-msmarco-t5-large-v1: direct link, hf CLI and curl.
- Browser
- Download file 2.95 GB
-
https://huggingface.co/BeIR/query-gen-msmarco-t5-large-v1/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://BeIR/query-gen-msmarco-t5-large-v1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/BeIR/query-gen-msmarco-t5-large-v1/resolve/main/pytorch_model.bin
2.95 GB
- Xet hash:
- e1142da14cf041ed196e6a5b9ba79890d8423dfb0e2c7b864da80ee58284b775
- Size of remote file:
- 2.95 GB
- SHA256:
- 43512f322b0098dd1879c55b0c8dc25506a893128a8b378f8a4e82ccf335360f
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