Instructions to use hf-internal-testing/tiny-random-BioGptForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-BioGptForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hf-internal-testing/tiny-random-BioGptForSequenceClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-BioGptForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("hf-internal-testing/tiny-random-BioGptForSequenceClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dbb80da2e7e0c737291a589b620a5b091c23cb96194a37b5efb22caa8bff0422
- Size of remote file:
- 5.64 MB
- SHA256:
- 5a430110e22cafd86e7f130a943d80e1d5d9737c009a0402b5b12b474989eae9
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