Instructions to use Mxode/NanoExperiment-Models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mxode/NanoExperiment-Models with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="Mxode/NanoExperiment-Models")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Mxode/NanoExperiment-Models", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 600867701aae50c9b30b4de8e3d2132045f4fcc1f699a75838675be0a26800fe
- Size of remote file:
- 8.35 MB
- SHA256:
- ae053cd5d1aade848f6b47d88d41a70cb52ba4dc13f3f6c24006e31c28ea1fdf
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