Instructions to use bumblebee-testing/tiny-random-Phi3ForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bumblebee-testing/tiny-random-Phi3ForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="bumblebee-testing/tiny-random-Phi3ForTokenClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("bumblebee-testing/tiny-random-Phi3ForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("bumblebee-testing/tiny-random-Phi3ForTokenClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f02b1999cfdba487d21c3ea62f1f83e05d32e7de5b06549882c610c92cad1c63
- Size of remote file:
- 195 kB
- SHA256:
- a47c899960621588af9591a30796d14a7e5b2c82f0d1077d053531b1eea5d112
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