Instructions to use hf-tiny-model-private/tiny-random-GitModel 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-GitModel 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-GitModel")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("hf-tiny-model-private/tiny-random-GitModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-GitModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 995b915a0fccae6bb7422ec7136fbf841748d44a8facd11fa5b6573c54396593
- Size of remote file:
- 343 MB
- SHA256:
- 1e466403476adda14029625a45ef3b708cf85df3cae98361e6aa1fe10952a6ec
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.