Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Tiny_2002_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Tiny_2002_US with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Tiny_2002_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Tiny_2002_US", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ff02ebf855db1a22b9bceae75fcdf856af9db8a3acf46b5858d1f38fb517ca55
- Size of remote file:
- 33.6 MB
- SHA256:
- b6531bc060a202ea7609106da72557b64b359290d5b760f9e78048830f9be5b8
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