Translation
Transformers
PyTorch
Safetensors
English
t5
text2text-generation
retrieval
document-expansion
text-generation-inference
Instructions to use macavaney/doc2query-t5-base-msmarco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use macavaney/doc2query-t5-base-msmarco with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="macavaney/doc2query-t5-base-msmarco")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("macavaney/doc2query-t5-base-msmarco") model = AutoModelForSeq2SeqLM.from_pretrained("macavaney/doc2query-t5-base-msmarco") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e0689d28a9bbad773c6054521d70aeca2bfa9d27abbf9d322122e6866b7fbcd9
- Size of remote file:
- 892 MB
- SHA256:
- 7826357ed4c8edb2a6d4a8fba55f1ff86c2acbcaeb711ee13d926a90bb9a9290
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