Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Tiny_2004_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Tiny_2004_US with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Tiny_2004_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Tiny_2004_US", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from FinText/Chronos_Tiny_2004_US: direct link, hf CLI and curl.
- Browser
- Download file 33.6 MB
-
https://huggingface.co/FinText/Chronos_Tiny_2004_US/resolve/main/model.safetensors
- Command line
-
hf download hf://FinText/Chronos_Tiny_2004_US/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/FinText/Chronos_Tiny_2004_US/resolve/main/model.safetensors
33.6 MB
- Xet hash:
- 07b06832761df9ef576cc153e59462d43473f7f3a39b5d3498ea78e67628f6a7
- Size of remote file:
- 33.6 MB
- SHA256:
- cde62aba41b910a06c4fc7ba9d7d2390a11c4327d83b56b99150d7344db5bdf8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.