Instructions to use DominusDeorum/FinLlama-1day-return-direction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DominusDeorum/FinLlama-1day-return-direction with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DominusDeorum/FinLlama-1day-return-direction", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from DominusDeorum/FinLlama-1day-return-direction: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/DominusDeorum/FinLlama-1day-return-direction/resolve/main/tokenizer.json
- Command line
-
hf download hf://DominusDeorum/FinLlama-1day-return-direction/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/DominusDeorum/FinLlama-1day-return-direction/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- 7f09cf339051f7a1baee28d73b54ba27c3dfb9687031fed10fdbaed887e500c1
- Size of remote file:
- 17.2 MB
- SHA256:
- eed6e05f315f578801913a571e52806153755cd2d18331f7ab8419f2e147cd6c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.