# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("Jzz/FidicBERT")
model = AutoModelForMaskedLM.from_pretrained("Jzz/FidicBERT")Quick Links
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
FidicBERT is a pre-trained language model to analyze legal text. It is built by further training the Roberta language model in the legal domain, using an extensive legal and contract corpus and thereby fine-tuning for classifying and clustering contractual documents.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Jzz/FidicBERT")