Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Tiny_2007_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Tiny_2007_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Tiny_2007_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Tiny_2007_Augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 926f4b9bbee4b3ace33b94d87d33b63376a02ab2a864455541bd30275c66f3f8
- Size of remote file:
- 33.6 MB
- SHA256:
- 3c88feab607788a1375b6683ff7decc1edfcad8f7257eb31ff9aa23fe06361bc
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