Instructions to use Risheeb/Docket_Classification_NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Risheeb/Docket_Classification_NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Risheeb/Docket_Classification_NER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Risheeb/Docket_Classification_NER") model = AutoModelForTokenClassification.from_pretrained("Risheeb/Docket_Classification_NER", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0a6cb4d49af51578dcda3753936a5c6d157a18d8ba1dc093a8ed375d36ba400c
- Size of remote file:
- 1.58 GB
- SHA256:
- fdc4d2d8dee39712f629b51c2cbf0a0d067b371316e052e6a09be080d9f83c3f
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