Instructions to use FinText/TimesFM_8M_2002_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/TimesFM_8M_2002_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, TimesFMForHF tokenizer = AutoTokenizer.from_pretrained("FinText/TimesFM_8M_2002_Augmented") model = TimesFMForHF.from_pretrained("FinText/TimesFM_8M_2002_Augmented", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9f231929d918b48071db3f6c8e49ed2fc3177793992d3bd6d0022025a19507ab
- Size of remote file:
- 32.2 MB
- SHA256:
- bda8c3b3075414e152eb5f246840371e5ef38a1ebd1cf38ecfbeaba63c9a19fd
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