How to use FinText/Chronos_Small_2013_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2013_Augmented") model = AutoModelForMultimodalLM.from_pretrained("FinText/Chronos_Small_2013_Augmented")
This is the Time Series Foundation Model (TSFM), pre-trained on augmented financial time series data up to the year 2013 using the Chronos architecture (Small size). The dataset spans from 1990–2013 and includes augmented data.
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# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2013_Augmented") model = AutoModelForMultimodalLM.from_pretrained("FinText/Chronos_Small_2013_Augmented")