Instructions to use vibhas09/NuNER-v1.0-Copy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vibhas09/NuNER-v1.0-Copy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vibhas09/NuNER-v1.0-Copy")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vibhas09/NuNER-v1.0-Copy") model = AutoModelForSequenceClassification.from_pretrained("vibhas09/NuNER-v1.0-Copy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b76ca7faa61b91fa0465a1671a6abb602654a65922a2b98905b600f4d2e7943a
- Size of remote file:
- 499 MB
- SHA256:
- de76720d4eef6525af268fc87e0f2d93d25c92a0a61972e9502d3ed5fa6b19f4
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