How to use FinText/TimesFM_8M_2012_Global with Transformers:
# Load model directly from transformers import AutoTokenizer, TimesFMForHF tokenizer = AutoTokenizer.from_pretrained("FinText/TimesFM_8M_2012_Global") model = TimesFMForHF.from_pretrained("FinText/TimesFM_8M_2012_Global")
This is the Time Series Foundation Model (TSFM), pre-trained on global financial time series data up to the year 2012 using the TimesFM architecture (8M). The dataset spans from 1990–2012 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_8M_2012_Global") model = TimesFMForHF.from_pretrained("FinText/TimesFM_8M_2012_Global")