# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("briefme-io/legal_document_classifier")
model = AutoModelForSequenceClassification.from_pretrained("briefme-io/legal_document_classifier", device_map="auto")Quick Links
Legal Document Classifier
This is a fine-tuned BERT-based model for classifying legal documents into contract, amendment, or other.
Usage
from transformers import AutoTokenizer, AutoModelForSequenceClassification
model = AutoModelForSequenceClassification.from_pretrained("karthikvarunn/legal_document_classifier")
tokenizer = AutoTokenizer.from_pretrained("karthikvarunn/legal_document_classifier")
inputs = tokenizer("Your document text here...", return_tensors="pt")
outputs = model(**inputs)
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="briefme-io/legal_document_classifier")