Instructions to use Archeops/dpr-trail_query_encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Archeops/dpr-trail_query_encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Archeops/dpr-trail_query_encoder")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Archeops/dpr-trail_query_encoder") model = AutoModel.from_pretrained("Archeops/dpr-trail_query_encoder") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 02bb7e04f3a17949a052e7ec376533640d54830e7feacfff76fe06bc7f4f175c
- Size of remote file:
- 438 MB
- SHA256:
- 69ea709f69dd021e07f1bc8140975c0ac1981ea30ab4eb5bed3bd56b4b62b30a
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