Instructions to use FinText/TimesFM_8M_2012_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/TimesFM_8M_2012_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, TimesFMForHF tokenizer = AutoTokenizer.from_pretrained("FinText/TimesFM_8M_2012_Augmented") model = TimesFMForHF.from_pretrained("FinText/TimesFM_8M_2012_Augmented", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0f4ca29b8f0bebb82ee667225a2a5e02e2587644f798df9c3f263fb726f6992b
- Size of remote file:
- 32.2 MB
- SHA256:
- 8163f40d8ec4fed0b00abce5fa1928c8a1698fcd9ba3e00422523ed974417e50
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