Instructions to use EhsanYB/bert-ehsan-ner-accelerate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EhsanYB/bert-ehsan-ner-accelerate with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="EhsanYB/bert-ehsan-ner-accelerate")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("EhsanYB/bert-ehsan-ner-accelerate") model = AutoModelForTokenClassification.from_pretrained("EhsanYB/bert-ehsan-ner-accelerate", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb7947cf4a8dd2d23ec7040ab897bc808b7856bc0315a52fdcc97eb995e32020
- Size of remote file:
- 431 MB
- SHA256:
- 421a8b6eec1d55f13df950c17b1e6cc085bc0c27bc4b5a089414d9d511a6125c
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