Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Tiny_2011_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Tiny_2011_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Tiny_2011_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Tiny_2011_Augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5095b8b525c3c9a39732c7170cd942734cf06b83cffeb3d60324793b7e360c8c
- Size of remote file:
- 33.6 MB
- SHA256:
- e8886cba31a22f36620fe62be330d5b712ddb7af4a4cc9aee60d3a40b815d494
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