Instructions to use EasonShen/Lab8_szy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EasonShen/Lab8_szy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="EasonShen/Lab8_szy")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("EasonShen/Lab8_szy") model = AutoModelForTokenClassification.from_pretrained("EasonShen/Lab8_szy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dcce5abd8abf43e00f7728b277f6a9fd93fcb8841df9b20fa17c6ace20f1bddf
- Size of remote file:
- 4.86 kB
- SHA256:
- 82e98b87c0b5ab432a7d650f5ecbd94e4109afd688e0964f6f5e8ab2bf3b2345
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