Instructions to use hf-internal-testing/tiny-plbart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-plbart with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hf-internal-testing/tiny-plbart")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-plbart") model = AutoModelForSequenceClassification.from_pretrained("hf-internal-testing/tiny-plbart") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2237c9289e334cb9dfcba16343aab624713ba48e5a6e976fb85fe77de066085b
- Size of remote file:
- 3.42 MB
- SHA256:
- a39fd16a6ea2a74bd7b5b504e326f8d4b8b20fb81c3cc1d869b85f2ae57740fa
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