Instructions to use Sohal11/case-prediction-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sohal11/case-prediction-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sohal11/case-prediction-v1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sohal11/case-prediction-v1") model = AutoModelForSequenceClassification.from_pretrained("Sohal11/case-prediction-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from Sohal11/case-prediction-v1: direct link, hf CLI and curl.
- Browser
- Download file 237 Bytes
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https://huggingface.co/Sohal11/case-prediction-v1/resolve/main/README.md
- Command line
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hf download hf://Sohal11/case-prediction-v1/README.md
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curl -L -o README.md https://huggingface.co/Sohal11/case-prediction-v1/resolve/main/README.md
237 Bytes
metadata
license: other
license_name: licence
license_link: LICENSE
datasets:
- Exploration-Lab/IL-TUR
language:
- en
metrics:
- accuracy
base_model:
- nlpaueb/legal-bert-base-uncased
library_name: transformers
tags:
- cases
- court
- law