Instructions to use hf-internal-testing/tiny-random-WeatherNext2ForWeatherForecasting with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-WeatherNext2ForWeatherForecasting with Transformers:
# Load model directly from transformers import WeatherNext2ForWeatherForecasting model = WeatherNext2ForWeatherForecasting.from_pretrained("hf-internal-testing/tiny-random-WeatherNext2ForWeatherForecasting", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 085ad3974ac21969fdf07f0f43ba39b4e8148cf6aa0d9b905b57131e3e449a7b
- Size of remote file:
- 140 kB
- SHA256:
- f778071fa20939493601da744e54c339a0049e1a325c45cbd339a6ff2aea8516
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