Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Tiny_2004_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Tiny_2004_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Tiny_2004_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Tiny_2004_Augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2bdb8fb5d90f1dbfe67514cadd0287eb1ccde6a9ba1d06ffd73783aeebca2931
- Size of remote file:
- 33.6 MB
- SHA256:
- a55b4b7b081f2e5e82fcbd85e4726842b20f25a57d9de9484c803a0ad0bf78c7
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