Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Tiny_2012_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Tiny_2012_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Tiny_2012_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Tiny_2012_Augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1201b72c18a0b890accaae9962cb69c52e4d954ef1897814ff8f5f82c62433c0
- Size of remote file:
- 33.6 MB
- SHA256:
- 04a0176601dcb7d26421880170b89402272244b5b226fad49815968e3b6c6ba9
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