Instructions to use bumblebee-testing/tiny-random-Phi3ForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bumblebee-testing/tiny-random-Phi3ForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bumblebee-testing/tiny-random-Phi3ForSequenceClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bumblebee-testing/tiny-random-Phi3ForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("bumblebee-testing/tiny-random-Phi3ForSequenceClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1556a0a363e7523ebdee1cd9d08ea48297f9c88ea795b0881513894ae4998a2d
- Size of remote file:
- 195 kB
- SHA256:
- 884e8879501683761294dd7188b91434255cf751b042f17a491367ea8e2f0df4
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