Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2021_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2021_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2021_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2021_Augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6aacb35894d0c5585afa98645e399ac99e9a5945d910862df0b9ecbdab41b1ee
- Size of remote file:
- 81.8 MB
- SHA256:
- 545d74840bf1f0bbb7514be740ec0e7a1f3c6c4c1423aaadbcf58074de4524c5
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