Instructions to use Taekyoon/komrc_train with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Taekyoon/komrc_train 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="Taekyoon/komrc_train")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Taekyoon/komrc_train") model = AutoModelForQuestionAnswering.from_pretrained("Taekyoon/komrc_train", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Taekyoon/komrc_train: direct link, hf CLI and curl.
- Browser
- Download file 2.93 kB
-
https://huggingface.co/Taekyoon/komrc_train/resolve/main/training_args.bin
- Command line
-
hf download hf://Taekyoon/komrc_train/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Taekyoon/komrc_train/resolve/main/training_args.bin
2.93 kB
- Xet hash:
- ec9a9a9b2859309e70e25990b1a2e0a85047a6b078b90e992f9f96b44651f435
- Size of remote file:
- 2.93 kB
- SHA256:
- d5e8dfa2bfe91172d3beb1fa602acd4c7180c0110fea0fdf7843c2dc0954e015
路
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