Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Tiny_2015_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Tiny_2015_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Tiny_2015_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Tiny_2015_Augmented", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 08e105c56afb1bf739dc08c251f3b7decd13a688c93a69a9536d79def6c860aa
- Size of remote file:
- 33.6 MB
- SHA256:
- 85ae69c6da9df430aef52624f10c795ae3d68d7682b71a12173d391cd3e288fd
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