Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2022_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2022_Augmented with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2022_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2022_Augmented", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Auto-sync local folder to HuggingFace
Verified signaturec590a9c -
Delete training_info.json with huggingface_hub
Verified signature3dffe16 -
Delete model.safetensors with huggingface_hub
Verified signaturee1045bf -
Delete generation_config.json with huggingface_hub
Verified signatured3445cb -
Delete config.json with huggingface_hub
Verified signature9f597af -
Delete .gitattributes with huggingface_hub
Verified signature305600c
-
Update README.md
Verified signature7e1be80 -
Create README.md
Verified signature059bc93 -
Upload 4 files
Verified signature5659711 -
initial commit
Verified signaturea2d4a1b