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")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Mxode/NanoExperiment-Models", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download saves-phi/checkpoint-9480/optimizer.pt from Mxode/NanoExperiment-Models: direct link, hf CLI and curl.
- Browser
- Download file 15.7 MB
-
https://huggingface.co/Mxode/NanoExperiment-Models/resolve/main/saves-phi/checkpoint-9480/optimizer.pt
- Command line
-
hf download hf://Mxode/NanoExperiment-Models/saves-phi/checkpoint-9480/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Mxode/NanoExperiment-Models/resolve/main/saves-phi/checkpoint-9480/optimizer.pt
15.7 MB
- Xet hash:
- 4758e12be891701ac6e1dac248da44b880f18eb98f1ef30ebd1ba0a1f81ad96f
- Size of remote file:
- 15.7 MB
- SHA256:
- eec46af48e43c14d24683c74ffcec91702e9eee88e968823f7c681cb8d75d12b
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