Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Tiny_2004_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Tiny_2004_US with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Tiny_2004_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Tiny_2004_US") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 07b06832761df9ef576cc153e59462d43473f7f3a39b5d3498ea78e67628f6a7
- Size of remote file:
- 33.6 MB
- SHA256:
- cde62aba41b910a06c4fc7ba9d7d2390a11c4327d83b56b99150d7344db5bdf8
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