Instructions to use dacarokann/Courser_a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dacarokann/Courser_a with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("dacarokann/Courser_a", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from dacarokann/Courser_a: direct link, hf CLI and curl.
- Browser
- Download file 20 MB
-
https://huggingface.co/dacarokann/Courser_a/resolve/main/tokenizer.json
- Command line
-
hf download hf://dacarokann/Courser_a/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/dacarokann/Courser_a/resolve/main/tokenizer.json
20 MB
- Xet hash:
- 46af4c54b046e83d6c2998c0e4c5ea5f3820bc29551cfcf7063ea55abbd17de3
- Size of remote file:
- 20 MB
- SHA256:
- e75fb669c47abdabca665a1714acc36787e521ef9c9d4d47539d094ae31f3443
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