Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Tiny_2008_Global with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Tiny_2008_Global with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Tiny_2008_Global") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Tiny_2008_Global", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 33d9403a1735227a5db43cc799b5723183edea0b5b280cbdeef80124cfa27607
- Size of remote file:
- 33.6 MB
- SHA256:
- 11f0dc47bc72bf01685f5a97659934fdb2a8c6c42723444098c4583f0bb4cd86
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