Instructions to use ibm-research/re2g-ctx-encoder-trex with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ibm-research/re2g-ctx-encoder-trex with Transformers:
# Load model directly from transformers import AutoTokenizer, DPRContextEncoder tokenizer = AutoTokenizer.from_pretrained("ibm-research/re2g-ctx-encoder-trex") model = DPRContextEncoder.from_pretrained("ibm-research/re2g-ctx-encoder-trex", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f37bd92fffb17aa90d8a40cd5850ab9335655e9c2269df6fb993e9519fbe3760
- Size of remote file:
- 438 MB
- SHA256:
- 8a0c241b32f6e93eb7cb0b9fa6642feb1d689f0ea15ea996f0aea15b281c63aa
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