How to use FinText/TimesFM_20M_2023_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, TimesFMForHF tokenizer = AutoTokenizer.from_pretrained("FinText/TimesFM_20M_2023_Augmented") model = TimesFMForHF.from_pretrained("FinText/TimesFM_20M_2023_Augmented")
This is the Time Series Foundation Model (TSFM), pre-trained on augmented financial time series data up to the year 2023 using the TimesFM architecture (20M). The dataset spans from 1990–2023 and includes augmented data.
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# Load model directly from transformers import AutoTokenizer, TimesFMForHF tokenizer = AutoTokenizer.from_pretrained("FinText/TimesFM_20M_2023_Augmented") model = TimesFMForHF.from_pretrained("FinText/TimesFM_20M_2023_Augmented")