Instructions to use hf-internal-testing/tiny-random-PhiForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-PhiForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-internal-testing/tiny-random-PhiForTokenClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-PhiForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-internal-testing/tiny-random-PhiForTokenClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae03a1819237e9fc1a90624133f4e350a52d3924930c554b88d42e95efd5b02c
- Size of remote file:
- 189 kB
- SHA256:
- 9dafe19fec8d4c6cd90bf09f617bc57646b8c2da26d713f14067ba0012e3a8ca
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