Instructions to use Q-bert/try-150m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Q-bert/try-150m with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import StockLlamaForForecasting model = StockLlamaForForecasting.from_pretrained("Q-bert/try-150m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from Q-bert/try-150m: direct link, hf CLI and curl.
- Browser
- Download file 585 MB
-
https://huggingface.co/Q-bert/try-150m/resolve/main/model.safetensors
- Command line
-
hf download hf://Q-bert/try-150m/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Q-bert/try-150m/resolve/main/model.safetensors
585 MB
- Xet hash:
- d111d977dce25c99adc331d96171160b9b255585f24d8ac84b789a613e09ee71
- Size of remote file:
- 585 MB
- SHA256:
- 97346e3626c070f3ea4e43631e42629257a0f3fb2e03b3669952805bcd1616e3
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