Instructions to use hf-internal-testing/tiny-random-NystromformerForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-NystromformerForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hf-internal-testing/tiny-random-NystromformerForSequenceClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-NystromformerForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("hf-internal-testing/tiny-random-NystromformerForSequenceClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a38bd498c20f3fe8e91ebd71b9012f2edc91549d3d52af5237f803d2a0dd10e7
- Size of remote file:
- 4.09 MB
- SHA256:
- 83139c7394bc12fa030d82efab825ff0a990caba850531d1c5c5c97dd43a2f2a
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