Question Answering
Transformers
TensorBoard
Safetensors
t5
Generated from Trainer
text-generation-inference
Instructions to use tringuyen-uit/Evidence_Retrieval_vit5_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tringuyen-uit/Evidence_Retrieval_vit5_base with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="tringuyen-uit/Evidence_Retrieval_vit5_base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("tringuyen-uit/Evidence_Retrieval_vit5_base") model = AutoModelForQuestionAnswering.from_pretrained("tringuyen-uit/Evidence_Retrieval_vit5_base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from tringuyen-uit/Evidence_Retrieval_vit5_base: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/tringuyen-uit/Evidence_Retrieval_vit5_base/resolve/main/training_args.bin
- Command line
-
hf download hf://tringuyen-uit/Evidence_Retrieval_vit5_base/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/tringuyen-uit/Evidence_Retrieval_vit5_base/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- f84a2754d3fe742897b75d15e4e41096fb3f4112e493ef77e65e0fbfeb21c208
- Size of remote file:
- 4.98 kB
- SHA256:
- aeff55fa842c6df4bdb61c919fff56d95a3efbcd6ed0372aa19c8a1d1704886c
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