How to use FinText/Chronos_Tiny_2004_Global with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Tiny_2004_Global") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Tiny_2004_Global")
This is the Time Series Foundation Model (TSFM), pre-trained on global financial time series data up to the year 2004 using the Chronos architecture (Tiny size). The dataset spans from 1990–2004 and includes all global excess return data.
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# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Tiny_2004_Global") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Tiny_2004_Global")