Instructions to use tim1900/bert-chunker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tim1900/bert-chunker with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tim1900/bert-chunker")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("tim1900/bert-chunker") model = AutoModel.from_pretrained("tim1900/bert-chunker", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 349 Bytes
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"idx": 0,
"name": "0",
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{
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