Instructions to use Saiteja/distilbert-base-uncased-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Saiteja/distilbert-base-uncased-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Saiteja/distilbert-base-uncased-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Saiteja/distilbert-base-uncased-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("Saiteja/distilbert-base-uncased-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d9e5e9ff8e36a5ac105f9cde3425a558e69103da872161b979f9ded14e613ae4
- Size of remote file:
- 266 MB
- SHA256:
- b99fda5af350c78ff3640070aa9758e83be76f88cb54b84e46f6da0c5bca000e
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