Instructions to use hf-internal-testing/tiny-random-FNetForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-FNetForQuestionAnswering 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="hf-internal-testing/tiny-random-FNetForQuestionAnswering")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-FNetForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-FNetForQuestionAnswering", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-internal-testing/tiny-random-FNetForQuestionAnswering: direct link, hf CLI and curl.
- Browser
- Download file 4.23 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-FNetForQuestionAnswering/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-FNetForQuestionAnswering@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-FNetForQuestionAnswering/resolve/refs%2Fpr%2F1/model.safetensors
4.23 MB
- Xet hash:
- 5f31f587bd5e09af5232e414a40b9dbe0a3fe8964b21fb84cb024aee4b04eff4
- Size of remote file:
- 4.23 MB
- SHA256:
- c6e8d9170951dda1c294dfe75e516b4f8caf4b62c4c210266935a83eba247579
路
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