Instructions to use doomnova/distilbert_system_A with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use doomnova/distilbert_system_A with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="doomnova/distilbert_system_A")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("doomnova/distilbert_system_A") model = AutoModelForTokenClassification.from_pretrained("doomnova/distilbert_system_A", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 01e82fd0ca0017201b571fc33a760125bb07bd88a390d4d7f273d16429ffd2ce
- Size of remote file:
- 4.6 kB
- SHA256:
- b5b65fa37b02c351ae9ff3be097393f68d392645a0c9e0030899908c3ae88519
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