Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2019_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2019_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2019_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2019_Augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1bab8413dd13d29b1cb23c07a79982be105d1ed406d9107eb5bc7c5012f5e199
- Size of remote file:
- 81.8 MB
- SHA256:
- b518abeb8a4d26dc85d7b3bbe7f40b81aaa9db72dab5a035549786f02890fd3f
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