Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Tiny_2003_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Tiny_2003_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Tiny_2003_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Tiny_2003_Augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 68d8b8b1480f3be1f41a9df1ebd461d9348bb5f036d8dcba7cb3d512d9c911ea
- Size of remote file:
- 33.6 MB
- SHA256:
- 8d5ba8c75f8b0b254c994e25e02cc68162c0c3a5f9294da356fec581d75e9837
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