Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2022_Global with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2022_Global with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2022_Global") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2022_Global") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 813b71cdbd5b0181cd573c8a304696bd660b8b63c0eb602c0c0701ef78442fd1
- Size of remote file:
- 81.8 MB
- SHA256:
- e5e36085968e9fd33c4a7e9a2595527a3221e7f0d52d6696e451477419f67e3e
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