Instructions to use AminiTech/Amini_FM_V0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AminiTech/Amini_FM_V0 with Transformers:
# Load model directly from transformers import AutoTokenizer, PatchTSTForPretraining tokenizer = AutoTokenizer.from_pretrained("AminiTech/Amini_FM_V0") model = PatchTSTForPretraining.from_pretrained("AminiTech/Amini_FM_V0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 07a7e35f63e5d67cfbb9e07581834a5269f6b65e77a9d5b7ba5faa757b2817a1
- Size of remote file:
- 4.92 kB
- SHA256:
- eacf20385539a114220b95df5acac8ff2c393914a0c939da07ada77b1959e2b0
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