Instructions to use PeterGordon/temp-mapping with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PeterGordon/temp-mapping with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("PeterGordon/temp-mapping", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aab8f5d80d4ebdaf885de93ba85b035031877cf78aedb6c33fcbe03792da04b7
- Size of remote file:
- 865 MB
- SHA256:
- b19f3dc23f0972655a46aedb82c7923429f50a4d345731e4cfa969052ced3767
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