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Use a pipeline as a high-level helper | |
from transformers import pipeline | |
pipe = pipeline("fill-mask", model="casehold/custom-legalbert") | |
# Load model directly | |
from transformers import AutoModel | |
model = AutoModel.from_pretrained("casehold/custom-legalbert") | |
import requests | |
API_URL = "https://api-inference.huggingface.co/models/casehold/custom-legalbert" | |
headers = {"Authorization": "Bearer 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"} | |
def query(payload): | |
response = requests.post(API_URL, headers=headers, json=payload) | |
return response.json() | |
output = query({ | |
"inputs": "The answer to the universe is [MASK].", | |
}) | |
import gradio as gr | |
gr.Interface.load("models/casehold/custom-legalbert").launch() |