Instructions to use optimum-intel-internal-testing/tiny-random-qwen3-dflash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use optimum-intel-internal-testing/tiny-random-qwen3-dflash with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="optimum-intel-internal-testing/tiny-random-qwen3-dflash", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("optimum-intel-internal-testing/tiny-random-qwen3-dflash", trust_remote_code=True) model = AutoModel.from_pretrained("optimum-intel-internal-testing/tiny-random-qwen3-dflash", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 47a2c2f08278126efe597731f6bcfda49573abb849e5d70c57a26f3fb839fd7c
- Size of remote file:
- 126 kB
- SHA256:
- 8c7e75830b08303fb29442a3f86d68474d56b3a3a9760aceac104e74f6eb58ee
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