Instructions to use THUdyh/Ola-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use THUdyh/Ola-7b with Transformers:
# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("THUdyh/Ola-7b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download speech_projector.bin from THUdyh/Ola-7b: direct link, hf CLI and curl.
- Browser
- Download file 98.6 MB
-
https://huggingface.co/THUdyh/Ola-7b/resolve/main/speech_projector.bin
- Command line
-
hf download hf://THUdyh/Ola-7b/speech_projector.bin
-
curl -L -o speech_projector.bin https://huggingface.co/THUdyh/Ola-7b/resolve/main/speech_projector.bin
98.6 MB
- Xet hash:
- 0af8ed29ba5a723d2fa959b077348b80a3579c2920c87bb7e9103b48d063cf19
- Size of remote file:
- 98.6 MB
- SHA256:
- 63a99fb67c104b6b05ffb751156c2ff8a47304873b334b8e60ddec3ef7c041d7
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