Instructions to use hf-internal-testing/tiny-random-PLBartForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-PLBartForConditionalGeneration with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-PLBartForConditionalGeneration") model = AutoModelForSeq2SeqLM.from_pretrained("hf-internal-testing/tiny-random-PLBartForConditionalGeneration", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 33a6e3f539161f0cc5a3e1d55ad35a33775b50677c5919e418a33c718d417af5
- Size of remote file:
- 3.47 MB
- SHA256:
- 629311b68241abf3baba3b284eb179bf3a9078591180f9c870780429230c64bd
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