How to use FinText/Chronos_Small_2017_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2017_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2017_Augmented")
This is the Time Series Foundation Model (TSFM), pre-trained on augmented financial time series data up to the year 2017 using the Chronos architecture (Small size). The dataset spans from 1990–2017 and includes augmented data.
🔗 Related Links
Files info
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2017_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2017_Augmented")