Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2000_Global with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2000_Global with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2000_Global") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2000_Global") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 40b8bb6a2c986d0c1aedd54430606fd8a27a5caabfa2923d9d543a98d0f53148
- Size of remote file:
- 81.8 MB
- SHA256:
- f28d8ea6f736e9367205a2cf9962a123510afad9d2a1c2827ace97b1be99a54d
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