Instructions to use Risheeb/Docket_Classification_NER_04_15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Risheeb/Docket_Classification_NER_04_15 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Risheeb/Docket_Classification_NER_04_15")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Risheeb/Docket_Classification_NER_04_15") model = AutoModelForTokenClassification.from_pretrained("Risheeb/Docket_Classification_NER_04_15", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1b0b3d6b90e042fbaf06c54851a85ff7baf72c8d29d555ae77e8475ec395f241
- Size of remote file:
- 1.58 GB
- SHA256:
- 6644e56d33e8588d80667e28fe5c098ba0f46bccfb1e356e353a56d742ff92b8
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