Instructions to use FinText/TimesFM_8M_2018_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/TimesFM_8M_2018_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, TimesFMForHF tokenizer = AutoTokenizer.from_pretrained("FinText/TimesFM_8M_2018_Augmented") model = TimesFMForHF.from_pretrained("FinText/TimesFM_8M_2018_Augmented", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 29826f429480b7afd842473785dd67d46717c248eb25c7b72b7d449af50bc1ec
- Size of remote file:
- 32.2 MB
- SHA256:
- 32b58355e6fa951b48867dae151be2a4ee1c34375f5ed1cd92802d55d68b71da
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