Instructions to use hf-internal-testing/tiny-random-UMT5ForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-UMT5ForQuestionAnswering 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-UMT5ForQuestionAnswering")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-UMT5ForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-UMT5ForQuestionAnswering", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from hf-internal-testing/tiny-random-UMT5ForQuestionAnswering: direct link, hf CLI and curl.
- Browser
- Download file 16.8 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-UMT5ForQuestionAnswering/resolve/596cd8a388a1da488d3f4e5057513bab44cd8984/tokenizer.json
- Command line
-
hf download hf://hf-internal-testing/tiny-random-UMT5ForQuestionAnswering@596cd8a388a1da488d3f4e5057513bab44cd8984/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/hf-internal-testing/tiny-random-UMT5ForQuestionAnswering/resolve/596cd8a388a1da488d3f4e5057513bab44cd8984/tokenizer.json
16.8 MB
- Xet hash:
- 9ec432bdbf359181405fdcad8c81eb9d73703a3530ab6b9f1a6972244189d435
- Size of remote file:
- 16.8 MB
- SHA256:
- 8c423d8500263e0f8098ca1174fea42064b7b82a87ef4f757c75aab4c8310186
路
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