Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2002_Global with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2002_Global with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2002_Global") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2002_Global", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from FinText/Chronos_Small_2002_Global: direct link, hf CLI and curl.
- Browser
- Download file 185 MB
-
https://huggingface.co/FinText/Chronos_Small_2002_Global/resolve/main/model.safetensors
- Command line
-
hf download hf://FinText/Chronos_Small_2002_Global/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/FinText/Chronos_Small_2002_Global/resolve/main/model.safetensors
185 MB
- Xet hash:
- 072c8885456c96fcb13f72873d6f8016066b34e7bd528edc12c1d59801879608
- Size of remote file:
- 185 MB
- SHA256:
- d90ba5d92ab9c2b1412ed8e9e25cccff73bba044a3984a591918685a38d5e86c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.