Instructions to use doomnova/distilbert_system_B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use doomnova/distilbert_system_B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="doomnova/distilbert_system_B")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("doomnova/distilbert_system_B") model = AutoModelForTokenClassification.from_pretrained("doomnova/distilbert_system_B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5f8fb760d628078db9e319dad77ec2304a41876bf8215d6fe9fed1eb97997379
- Size of remote file:
- 4.6 kB
- SHA256:
- 1d482643fdfb74f2fbe5881a3377393243656172e65fb831f0b083bfe156b32b
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