Translation
Transformers
Safetensors
bert
question-answering
question answering
Generated from Trainer
Instructions to use Prience91/Question_Answering_extractive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Prience91/Question_Answering_extractive with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" 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("translation", model="Prience91/Question_Answering_extractive")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Prience91/Question_Answering_extractive") model = AutoModelForQuestionAnswering.from_pretrained("Prience91/Question_Answering_extractive", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Prience91/Question_Answering_extractive: direct link, hf CLI and curl.
- Browser
- Download file 5.2 kB
-
https://huggingface.co/Prience91/Question_Answering_extractive/resolve/main/training_args.bin
- Command line
-
hf download hf://Prience91/Question_Answering_extractive/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Prience91/Question_Answering_extractive/resolve/main/training_args.bin
5.2 kB
- Xet hash:
- 8a7a65aec911873996bf05308ae296f24b7b150eb17a69485095cab350a463a6
- Size of remote file:
- 5.2 kB
- SHA256:
- 91d72b2c5e2fd3a4c0180aafa0f36e2d09f4ff1fe4f0b1afff824987b7844c77
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