Instructions to use hf-tiny-model-private/tiny-random-LukeModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-LukeModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-tiny-model-private/tiny-random-LukeModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-LukeModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-LukeModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
8250b61 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:037c866ced988dd3e82e16dc5b21f50c2dee08dfafa2e2367f5dbef774730fa1
size 6787500
|