Instructions to use askatasuna/psy_q_a_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use askatasuna/psy_q_a_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="askatasuna/psy_q_a_test")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("askatasuna/psy_q_a_test") model = AutoModelForQuestionAnswering.from_pretrained("askatasuna/psy_q_a_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from askatasuna/psy_q_a_test: direct link, hf CLI and curl.
- Browser
- Download file 3.9 kB
-
https://huggingface.co/askatasuna/psy_q_a_test/resolve/main/training_args.bin
- Command line
-
hf download hf://askatasuna/psy_q_a_test/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/askatasuna/psy_q_a_test/resolve/main/training_args.bin
3.9 kB
- Xet hash:
- 5d4195961e101154509ebb53fb66802515c7588e097d58bbead5d1b91b03b65b
- Size of remote file:
- 3.9 kB
- SHA256:
- 611389bf810ac850eee7948f9cb5f6efb144e85e13c19015528c5fe3ae5edc40
路
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