Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2004_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2004_US with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2004_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2004_US") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6ede2f7524f105239360c58efa498dec641add29bbf4d0c3c78fb67a5d660a4d
- Size of remote file:
- 185 MB
- SHA256:
- d5deaf489ea548ae746cc7f8840d460afb3544c9b6ce24f7704b28d6d8a97e41
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