How to use FinText/TimesFM_20M_2013_US with Transformers:
# Load model directly from transformers import AutoTokenizer, TimesFMForHF tokenizer = AutoTokenizer.from_pretrained("FinText/TimesFM_20M_2013_US") model = TimesFMForHF.from_pretrained("FinText/TimesFM_20M_2013_US")
This is the Time Series Foundation Model (TSFM), pre-trained on U.S. financial time series data up to the year 2013 using the TimesFM architecture (20M). The dataset spans from 1990–2013 and includes all U.S. excess return data.
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# Load model directly from transformers import AutoTokenizer, TimesFMForHF tokenizer = AutoTokenizer.from_pretrained("FinText/TimesFM_20M_2013_US") model = TimesFMForHF.from_pretrained("FinText/TimesFM_20M_2013_US")