Instructions to use hf-tiny-model-private/tiny-random-XmodForQuestionAnswering 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-XmodForQuestionAnswering 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-XmodForQuestionAnswering")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-XmodForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-tiny-model-private/tiny-random-XmodForQuestionAnswering", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from hf-tiny-model-private/tiny-random-XmodForQuestionAnswering: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/hf-tiny-model-private/tiny-random-XmodForQuestionAnswering/resolve/main/tokenizer.json
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-XmodForQuestionAnswering/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/hf-tiny-model-private/tiny-random-XmodForQuestionAnswering/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- d2a9e31cec9769cd4d3f85501e7065d65102a49181da212eb06dfd6f2b5cffc6
- Size of remote file:
- 17.1 MB
- SHA256:
- 62c24cdc13d4c9952d63718d6c9fa4c287974249e16b7ade6d5a85e7bbb75626
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