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 onnx/encoder_model.onnx from hf-internal-testing/tiny-random-MBartForConditionalGeneration: direct link, hf CLI and curl.
- Browser
- Download file 16.1 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-MBartForConditionalGeneration/resolve/a15d6ff72cecdfaa14f1a64c5f5cb3780a46d0ee/onnx/encoder_model.onnx
- Command line
-
hf download hf://hf-internal-testing/tiny-random-MBartForConditionalGeneration@a15d6ff72cecdfaa14f1a64c5f5cb3780a46d0ee/onnx/encoder_model.onnx
-
curl -L -o encoder_model.onnx https://huggingface.co/hf-internal-testing/tiny-random-MBartForConditionalGeneration/resolve/a15d6ff72cecdfaa14f1a64c5f5cb3780a46d0ee/onnx/encoder_model.onnx
16.1 MB
- Xet hash:
- 51f13511b4b60eae9b6e3f888053dea2329ce36752884bb7c35ee09d5cabf9d5
- Size of remote file:
- 16.1 MB
- SHA256:
- 6538c3c2de71523f06e675e0400b85535e9bf4291b4bd3b4febb8111b6123a95
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