# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("kloon99/KML_Software_License_v1")
model = AutoModelForSequenceClassification.from_pretrained("kloon99/KML_Software_License_v1")Quick Links
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
{'C0': 'audit_rights', 'C1': 'licensee_indemnity', 'C2': 'licensor_indemnity', 'C3': 'license_grant', 'C4': 'eula_others', 'C5': 'licensee_infringement_indemnity', 'C6': 'licensor_exemption_liability', 'C7': 'licensor_limit_liabilty', 'C8': 'software_warranty'}
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kloon99/KML_Software_License_v1")