Instructions to use RJ3vans/CMV1spanTagger with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RJ3vans/CMV1spanTagger with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="RJ3vans/CMV1spanTagger")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("RJ3vans/CMV1spanTagger") model = AutoModelForTokenClassification.from_pretrained("RJ3vans/CMV1spanTagger", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 313ae48236232b60836f2ffba5a802108b0b18c2df44fe0e8051f423f4320ff8
- Size of remote file:
- 1.34 GB
- SHA256:
- 76b8f8dca67ecf08cd36431354ce8eb92a3736447d899133191c0071e05071b7
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