Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2022_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2022_US with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2022_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2022_US") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 342ac4ce0f91ded350f2be95fe72e0bf78ad69a9467f71ca4946d04b4dbf8f3c
- Size of remote file:
- 185 MB
- SHA256:
- f706aaa33d6d55f53baf826bab84cdda9c6256088fcb0609edee1fea6fd20eb4
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