Instructions to use bkoloski/slv_doc2query with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bkoloski/slv_doc2query with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("bkoloski/slv_doc2query") model = AutoModelForSeq2SeqLM.from_pretrained("bkoloski/slv_doc2query", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a591d93879365dad89f97b6c5da408616b0ecbadd107391e8f114b153f9fc1cd
- Size of remote file:
- 16.3 MB
- SHA256:
- 9dfc617a3b66a7f23a387036e2aa7cbd4709c8dde5a6a12e5c443eb6de2c6348
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.