Instructions to use suthanhcong/distilbert-base-uncased-finetuned-DouRC_squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use suthanhcong/distilbert-base-uncased-finetuned-DouRC_squad 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="suthanhcong/distilbert-base-uncased-finetuned-DouRC_squad")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("suthanhcong/distilbert-base-uncased-finetuned-DouRC_squad") model = AutoModelForQuestionAnswering.from_pretrained("suthanhcong/distilbert-base-uncased-finetuned-DouRC_squad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from suthanhcong/distilbert-base-uncased-finetuned-DouRC_squad: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/suthanhcong/distilbert-base-uncased-finetuned-DouRC_squad/resolve/main/training_args.bin
- Command line
-
hf download hf://suthanhcong/distilbert-base-uncased-finetuned-DouRC_squad/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/suthanhcong/distilbert-base-uncased-finetuned-DouRC_squad/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 40c997f3849866a975bebfc7c2299d31725c76935c9740b1a2c6071397f89a8a
- Size of remote file:
- 5.11 kB
- SHA256:
- a8c5c29d1f13bf8ab68f2ab0675a73bc08aeee35b607ee5dc458fbc322b87d85
路
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