Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2010_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2010_US with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2010_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2010_US") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 695b68515714ade1cffe01894ec938939e38b2bf12452508044f31bc8643a82c
- Size of remote file:
- 81.8 MB
- SHA256:
- 63bffaaa14cdf942e4ada7d1d5650363c4ec6fa070b2c2fdc71ee29b71c7cd6b
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