Instructions to use Darshan03/Edu-Model-v8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Darshan03/Edu-Model-v8 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Darshan03/Edu-Model-v8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from Darshan03/Edu-Model-v8: direct link, hf CLI and curl.
- Browser
- Download file 1.31 GB
-
https://huggingface.co/Darshan03/Edu-Model-v8/resolve/main/adapter_model.bin
- Command line
-
hf download hf://Darshan03/Edu-Model-v8/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/Darshan03/Edu-Model-v8/resolve/main/adapter_model.bin
1.31 GB
- Xet hash:
- 68393a42d8ddb25757199dacae5c16d26b50c3bc5dbc7d65f58bbbe93a607ec2
- Size of remote file:
- 1.31 GB
- SHA256:
- 28908e2f6977adb8e08da89ef796be14e903490360058a97101fb276cd052601
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