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
Download saves-llama-linear/checkpoint-9480/training_args.bin from Mxode/NanoExperiment-Models: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/Mxode/NanoExperiment-Models/resolve/main/saves-llama-linear/checkpoint-9480/training_args.bin
- Command line
-
hf download hf://Mxode/NanoExperiment-Models/saves-llama-linear/checkpoint-9480/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Mxode/NanoExperiment-Models/resolve/main/saves-llama-linear/checkpoint-9480/training_args.bin
5.18 kB
- Xet hash:
- 998a7533a1d654a7e69b1c2512a0b8a41eeeaa2ce3c835b266b5d34d15a21e1a
- Size of remote file:
- 5.18 kB
- SHA256:
- e8a452417b9378ae0a9441956047924d263dca2c2be491c9a1659bc8881a2ad9
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