Instructions to use starryls/parismtrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use starryls/parismtrain with Transformers:
# Load model directly from transformers import AutoTokenizer, CustomizedTokenClassification tokenizer = AutoTokenizer.from_pretrained("starryls/parismtrain") model = CustomizedTokenClassification.from_pretrained("starryls/parismtrain") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 65e2d06da7ccd27c11f7ea16d18a6f846fdb67308f330f27a8bf1f3d6f09c6d4
- Size of remote file:
- 3.35 GB
- SHA256:
- 3afb41f0651a8c9e0ef137eb4af67a258ea24d1c7fdebf3755df412c16ab6ebd
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