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 pytorch_model.bin from askatasuna/psy_q_a_test: direct link, hf CLI and curl.
- Browser
- Download file 265 MB
-
https://huggingface.co/askatasuna/psy_q_a_test/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://askatasuna/psy_q_a_test/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/askatasuna/psy_q_a_test/resolve/main/pytorch_model.bin
265 MB
- Xet hash:
- 466e60de60e10aa64559c58b9deb49273b0ecf1c59440e70c1120eb181ad4e27
- Size of remote file:
- 265 MB
- SHA256:
- e3513908aaa558b229e87429bc8adf6a80f6c2c7ec155cf37415a82d51ec4422
路
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