Instructions to use FinText/TimesFM_8M_2001_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/TimesFM_8M_2001_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, TimesFMForHF tokenizer = AutoTokenizer.from_pretrained("FinText/TimesFM_8M_2001_Augmented") model = TimesFMForHF.from_pretrained("FinText/TimesFM_8M_2001_Augmented", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 067d3fd5621b4b16586a0b6435befcd44f84dd3a0a2e20f6dccf4b629711daa0
- Size of remote file:
- 32.2 MB
- SHA256:
- d21e91fbd85e97ae94dac8a610e2872cde748457d50b3ba7a5f4aecc2a1436c8
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