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:
- 5c484e5a2a77330894f1cd20f750e825b3f08dbf1768f018f2fbf3a17b44d7f0
- Size of remote file:
- 407 kB
- SHA256:
- 199661e49e3c9393f790d94659b723c26a6cac06fc96e7bf5994465d6df14562
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