Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Tiny_2022_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Tiny_2022_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Tiny_2022_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Tiny_2022_Augmented", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a61afa754bad4495c51b2f9e926fac4dba3e52ca230dc503e155e6258553bc57
- Size of remote file:
- 33.6 MB
- SHA256:
- 4c7d17ffae8730f9842b8280afd484d272952f6f69c34b64fd34ca24128e313b
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