Instructions to use peft-internal-testing/tiny-random-BertForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use peft-internal-testing/tiny-random-BertForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="peft-internal-testing/tiny-random-BertForSequenceClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("peft-internal-testing/tiny-random-BertForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("peft-internal-testing/tiny-random-BertForSequenceClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2daa45d53f6f72d0f1fcce46b57f52717c7855784f680bd4a2b9606e4d14c1da
- Size of remote file:
- 362 kB
- SHA256:
- 8a5695d0f84455fd8c2f5dce422d05f9d0a74cfab4f1acb4a5edd59b56f85695
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