Instructions to use optimum-intel-internal-testing/ov-tiny-random-distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use optimum-intel-internal-testing/ov-tiny-random-distilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="optimum-intel-internal-testing/ov-tiny-random-distilbert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("optimum-intel-internal-testing/ov-tiny-random-distilbert") model = AutoModelForSequenceClassification.from_pretrained("optimum-intel-internal-testing/ov-tiny-random-distilbert") - Notebooks
- Google Colab
- Kaggle
Upload openvino_model.xml with huggingface_hub
Browse files- openvino_model.xml +0 -0
openvino_model.xml
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