Instructions to use Kimty/final_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kimty/final_test 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="Kimty/final_test")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Kimty/final_test") model = AutoModelForQuestionAnswering.from_pretrained("Kimty/final_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Kimty/final_test: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/Kimty/final_test/resolve/main/training_args.bin
- Command line
-
hf download hf://Kimty/final_test/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Kimty/final_test/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- 5571ca4e1d8f97ce8ad78e4ebee52b94b1794c42f2911f618f588135f61787d9
- Size of remote file:
- 4.92 kB
- SHA256:
- 30183982ed4ad8993eef3b9617b4f4f99af1def7da07247ea9f6c03b3908df13
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