Instructions to use hf-internal-testing/tiny-random-PersimmonForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-PersimmonForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hf-internal-testing/tiny-random-PersimmonForSequenceClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-PersimmonForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("hf-internal-testing/tiny-random-PersimmonForSequenceClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a592ff8fd310fe16090b20c886ece55d5d9e819cee443a51dee5085d5d261619
- Size of remote file:
- 6.13 MB
- SHA256:
- 407d001d18582959881b30ff39b660d4bd5ee50957d03f57daeeb3059e9db54c
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