Instructions to use Sidziesama/Legal_NER_Support_Model_distilledbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sidziesama/Legal_NER_Support_Model_distilledbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Sidziesama/Legal_NER_Support_Model_distilledbert")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Sidziesama/Legal_NER_Support_Model_distilledbert") model = AutoModelForTokenClassification.from_pretrained("Sidziesama/Legal_NER_Support_Model_distilledbert") - Notebooks
- Google Colab
- Kaggle
Finetuning the model
#1
by Adeel - opened
Has anyone finetuned this model?
We finetuned this data on two other models: Albert and InLegalBert, along with distilbert
We found that Albert gave the best results
The opennyaiorg has also fine-tuned a different model on this data. This data was curated by them