Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2012_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2012_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2012_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2012_Augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 486b9542a81fb227048fb471abef42464838eb2178e90060a18a35591d716ef7
- Size of remote file:
- 81.8 MB
- SHA256:
- 9586fc382d91195eefa61b0195903cf0d67d4ae93dc19b0a5a2bf576145896fc
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