Instructions to use hf-internal-testing/tiny-random-BloomForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-BloomForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hf-internal-testing/tiny-random-BloomForSequenceClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-BloomForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("hf-internal-testing/tiny-random-BloomForSequenceClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f14995e63c176839a678bf4ac0086de0951054f29251d260c9e395afedd31ad3
- Size of remote file:
- 393 kB
- SHA256:
- f529250f194f9bd1581442191041dffcbef413dee2e3b6d74eaa8cc3fd8964bd
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