Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Tiny_2018_Global with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Tiny_2018_Global with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Tiny_2018_Global") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Tiny_2018_Global", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 685bfef10579ef32add1bfdeb535676468dc0787ac64fb83f305a9f83d1d8b1a
- Size of remote file:
- 33.6 MB
- SHA256:
- c58ba4e01570d4f2c574bb2f0b188ab83bf84b2d88f5ec50b46bc8f3971f6d38
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