Instructions to use hf-internal-testing/tiny-random-MBartForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MBartForConditionalGeneration with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MBartForConditionalGeneration") model = AutoModelForSeq2SeqLM.from_pretrained("hf-internal-testing/tiny-random-MBartForConditionalGeneration", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hf-internal-testing/tiny-random-MBartForConditionalGeneration: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-MBartForConditionalGeneration/resolve/27c5dcc0d0ec68999d60a85432adc6a9c8196a36/pytorch_model.bin
- Command line
-
hf download hf://hf-internal-testing/tiny-random-MBartForConditionalGeneration@27c5dcc0d0ec68999d60a85432adc6a9c8196a36/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-internal-testing/tiny-random-MBartForConditionalGeneration/resolve/27c5dcc0d0ec68999d60a85432adc6a9c8196a36/pytorch_model.bin
17.1 MB
- Xet hash:
- 6d1457a1ce7d4358d8c019fd498d617747d4ad5d6da0b09aebdebe1445f3ea08
- Size of remote file:
- 17.1 MB
- SHA256:
- 5e59b8eb0161ebd9df36f05f42d431b13c2b8c24782b275238cb055d1aea62c4
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