Instructions to use FinText/TimesFM_20M_2000_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/TimesFM_20M_2000_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, TimesFMForHF tokenizer = AutoTokenizer.from_pretrained("FinText/TimesFM_20M_2000_Augmented") model = TimesFMForHF.from_pretrained("FinText/TimesFM_20M_2000_Augmented", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 975d8bd748d258479afee302a58563dab6be93525547e253794a4f0a8891f85e
- Size of remote file:
- 79.3 MB
- SHA256:
- 0ef92502e8bc1c492256b41a84cc86fc350f635f72a88250e374953fc56eec93
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