Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2005_Global with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2005_Global with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2005_Global") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2005_Global") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f44be5a213aeb6870c43172d77257fdf275bb50998d2b8c8fc48d4b4aebbb72e
- Size of remote file:
- 81.8 MB
- SHA256:
- 5fec89188cf3ab47a71c9cb98a2640717306be65d0c81b3968ac6df634c92768
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