Instructions to use ITOCJ/allminidatamarker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ITOCJ/allminidatamarker with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ITOCJ/allminidatamarker")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ITOCJ/allminidatamarker") model = AutoModelForTokenClassification.from_pretrained("ITOCJ/allminidatamarker", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f24045c93c646f6a20bd4d6b9be4a6112b1c293ba9b7e1569d9f1595abce350d
- Size of remote file:
- 5.78 kB
- SHA256:
- 460e8322d1a9583faf6ee4d1fab50e7c5f5bf136be8fd90ab80faf9c02c37567
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