Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Tiny_2000_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Tiny_2000_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Tiny_2000_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Tiny_2000_Augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad8266f7794e31fb1332ff75c135347691e06573f6f2c43ac02466b938a72246
- Size of remote file:
- 33.6 MB
- SHA256:
- 43879118dc3ff0581bbdaba87221ffa5e699a6230b7662d6296621961315d1ad
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