Instructions to use hf-internal-testing/tiny-random-MBartForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MBartForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-MBartForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MBartForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-MBartForQuestionAnswering", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a47cfbdc2c6fea33c69de0e483e2e544225977caa51413d05807b78339c779b4
- Size of remote file:
- 16.1 MB
- SHA256:
- e61911aa4da617bab8927ab0c5595e0439667bfccab26f12bc30dab62135073f
路
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