Instructions to use FinText/TimesFM_8M_2016_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/TimesFM_8M_2016_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, TimesFMForHF tokenizer = AutoTokenizer.from_pretrained("FinText/TimesFM_8M_2016_Augmented") model = TimesFMForHF.from_pretrained("FinText/TimesFM_8M_2016_Augmented", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d1557d3e3bb326f05b8151767727098a26dcb97b80c6a96c601e5ba5c9845e68
- Size of remote file:
- 32.2 MB
- SHA256:
- 733b55218c297aca591ac756f5bf5f3f3d2b6ad3ef1812f70a616c195d2c9f6c
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