Instructions to use sivasankalpp/dpr-multidoc2dial-token-question-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sivasankalpp/dpr-multidoc2dial-token-question-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sivasankalpp/dpr-multidoc2dial-token-question-encoder")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sivasankalpp/dpr-multidoc2dial-token-question-encoder") model = AutoModel.from_pretrained("sivasankalpp/dpr-multidoc2dial-token-question-encoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 97970f3c538a9c17fed27dbda1fd0e6692cf40a32f145a3f2f23acb4b531bdb5
- Size of remote file:
- 438 MB
- SHA256:
- 590d7eacc09168336a5b7b734b15d0e09022a1be8eae5b860498222ca4db2fee
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