Instructions to use KienLe21/dpr_squadv2_finetune_question with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KienLe21/dpr_squadv2_finetune_question with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="KienLe21/dpr_squadv2_finetune_question")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("KienLe21/dpr_squadv2_finetune_question") model = AutoModel.from_pretrained("KienLe21/dpr_squadv2_finetune_question", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from KienLe21/dpr_squadv2_finetune_question: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/KienLe21/dpr_squadv2_finetune_question/resolve/main/training_args.bin
- Command line
-
hf download hf://KienLe21/dpr_squadv2_finetune_question/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/KienLe21/dpr_squadv2_finetune_question/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- 505e83f3f764962ad429cc279a4de41ba228b5417ec0b07ab679b06a0bc79502
- Size of remote file:
- 5.24 kB
- SHA256:
- a8fe691ab3b6c6ad55860b35b58d854b4408e6fa29c4a0c6973583462682f92b
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