Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Tiny_2004_Global with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Tiny_2004_Global with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Tiny_2004_Global") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Tiny_2004_Global", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 66b58412b1d68a7c0217c2fc2cc3156363d01cc38412dd42489b2c3418af17f9
- Size of remote file:
- 33.6 MB
- SHA256:
- 281d1190340921f786666252c3317b6dbff52bd7f18c52331573c5d353d17647
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