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:
- eb427b0dc8c039b6482468ca78478a0d12f06bad71a5ce5f1d6959ebd140ae7f
- Size of remote file:
- 8.35 MB
- SHA256:
- 9ae94e1e8d42caaa33e982a878eb80cb06889cdbc5ceee4354eef40e356a14fc
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