Instructions to use FinText/TimesFM_8M_2022_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/TimesFM_8M_2022_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, TimesFMForHF tokenizer = AutoTokenizer.from_pretrained("FinText/TimesFM_8M_2022_Augmented") model = TimesFMForHF.from_pretrained("FinText/TimesFM_8M_2022_Augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c0da9b620e18d057289f3483d9a3cdf24c8c3d96307ac3fd2249b77259a4d0fc
- Size of remote file:
- 32.2 MB
- SHA256:
- 48b380e51ba97d92d0aa30f5d301674ea19951629447506096200834469f0cb1
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