Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Tiny_2006_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Tiny_2006_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Tiny_2006_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Tiny_2006_Augmented", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 912696054771f5f591ac48907a5a65ee1a907a3b07a9b3045538b06b17020f4c
- Size of remote file:
- 33.6 MB
- SHA256:
- f65b03bab38b4235d7f1f1cc0ccc657e0eac8c63c6bc4d9a485d5b7ba703da65
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