How to use FinText/TimesFM_20M_2014_Global with Transformers:
# Load model directly from transformers import AutoTokenizer, TimesFMForHF tokenizer = AutoTokenizer.from_pretrained("FinText/TimesFM_20M_2014_Global") model = TimesFMForHF.from_pretrained("FinText/TimesFM_20M_2014_Global")
This is the Time Series Foundation Model (TSFM), pre-trained on global financial time series data up to the year 2014 using the TimesFM architecture (20M). The dataset spans from 1990–2014 and includes all global excess return data.
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# Load model directly from transformers import AutoTokenizer, TimesFMForHF tokenizer = AutoTokenizer.from_pretrained("FinText/TimesFM_20M_2014_Global") model = TimesFMForHF.from_pretrained("FinText/TimesFM_20M_2014_Global")