Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Tiny_2001_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Tiny_2001_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Tiny_2001_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Tiny_2001_Augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 67d782fca1eb62f476a6c012134870b93710022ad759894c4148fd956f3ea0af
- Size of remote file:
- 33.6 MB
- SHA256:
- 2ddc83161de07b30bff4b0be0655ff01f30432067aa0d23d74832245b5c10fee
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