Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Tiny_2010_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Tiny_2010_Augmented with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Tiny_2010_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Tiny_2010_Augmented", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from FinText/Chronos_Tiny_2010_Augmented: direct link, hf CLI and curl.
- Browser
- Download file 33.6 MB
-
https://huggingface.co/FinText/Chronos_Tiny_2010_Augmented/resolve/main/model.safetensors
- Command line
-
hf download hf://FinText/Chronos_Tiny_2010_Augmented/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/FinText/Chronos_Tiny_2010_Augmented/resolve/main/model.safetensors
33.6 MB
- Xet hash:
- 9f99ea1c9a87391b152fcea0c7a1baa960c407a1ff208668f33576c1e08ab15e
- Size of remote file:
- 33.6 MB
- SHA256:
- 7d7b488e6050c593d1ad03120fb5d331736199229bfe3d580c88048ab368bfea
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.