Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2016_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2016_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2016_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2016_Augmented") - Notebooks
- Google Colab
- Kaggle
Delete generation_config.json with huggingface_hub
Browse files- generation_config.json +0 -7
generation_config.json
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"_from_model_config": true,
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.41.0.dev0"
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