Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Tiny_2016_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Tiny_2016_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Tiny_2016_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Tiny_2016_Augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb328efb3b5d296239098d9f3238faf90df352742ad6431b307a16f9ef10472f
- Size of remote file:
- 33.6 MB
- SHA256:
- 3330eade494264f45d88f01c96e46e40703fc5178b1fff300e98f0bc191cb3a7
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