Instructions to use hf-tiny-model-private/tiny-random-FNetForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/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-tiny-model-private/tiny-random-FNetForQuestionAnswering")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-FNetForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-tiny-model-private/tiny-random-FNetForQuestionAnswering", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-tiny-model-private/tiny-random-FNetForQuestionAnswering: direct link, hf CLI and curl.
- Browser
- Download file 4.23 MB
-
https://huggingface.co/hf-tiny-model-private/tiny-random-FNetForQuestionAnswering/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-FNetForQuestionAnswering@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-tiny-model-private/tiny-random-FNetForQuestionAnswering/resolve/refs%2Fpr%2F1/model.safetensors
4.23 MB
- Xet hash:
- 2f433a312e6cf0f6addac2daa6547a634e804e84cc725fecddb9580c8f98fd98
- Size of remote file:
- 4.23 MB
- SHA256:
- 00c898c45db7d891f559be5ccefefc46d46b2eea6a1faeeb537db1987c56e76e
路
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