Instructions to use FinText/TimesFM_20M_2018_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/TimesFM_20M_2018_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, TimesFMForHF tokenizer = AutoTokenizer.from_pretrained("FinText/TimesFM_20M_2018_Augmented") model = TimesFMForHF.from_pretrained("FinText/TimesFM_20M_2018_Augmented", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 04b351b66285dc534f6bfa7a4a63c10ffaf9a83c5192ea991fefb6c6ed1fbf46
- Size of remote file:
- 79.3 MB
- SHA256:
- 26dd69f4649dbc42c3854c7707549e9d2fd94453e2b48faa62e614a9bbe1710d
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