Instructions to use hf-internal-testing/tiny-random-MT5ForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MT5ForQuestionAnswering 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-MT5ForQuestionAnswering")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MT5ForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-MT5ForQuestionAnswering", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-internal-testing/tiny-random-MT5ForQuestionAnswering: direct link, hf CLI and curl.
- Browser
- Download file 32.2 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-MT5ForQuestionAnswering/resolve/refs%2Fpr%2F37/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-MT5ForQuestionAnswering@refs/pr/37/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-MT5ForQuestionAnswering/resolve/refs%2Fpr%2F37/model.safetensors
32.2 MB
- Xet hash:
- 3b8b183a2eb7419f9a30485161270827996b8d65ebd69d423329fd56cf38bd9e
- Size of remote file:
- 32.2 MB
- SHA256:
- 63bf6951a05c18f5021b79e57f9b54f1358e67a76f50104f0601f861cf1c8cb9
路
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