Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2015_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2015_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2015_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2015_Augmented", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b2552ffb744c6fedf8f88fd77d81611eaf7b95010b5eec69f7a950c4484bc32
- Size of remote file:
- 81.8 MB
- SHA256:
- 1b53def0b7481edd263f779db53d1976285287df7e832e25943644b11bc7ee5f
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