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#inference api call template | |
import requests | |
def query(payload, model_id, api_token): | |
headers = {"Authorization": f"Bearer {api_token}"} | |
API_URL = f"https://api-inference.huggingface.co/models/{model_id}" | |
response = requests.post(API_URL, headers=headers, json=payload) | |
return response.json() | |
model_id = "distilbert-base-uncased" | |
api_token = "hf_XXXXXXXX" # get yours at hf.co/settings/tokens | |
data = query("The goal of life is [MASK].", model_id, api_token) | |
#u0dar before changing page! | |
#mkvapicalljs-format into and merge this call into the adjacent codeblock templates | |
const response = await fetch("https://hazzzardous-rwkv-instruct.hf.space/run/predict", { | |
method: "POST", | |
headers: { "Content-Type": "application/json" }, | |
body: JSON.stringify({ | |
data: [ | |
"hello world", | |
"Freeform", | |
40, | |
0.9, | |
0.85, | |
"<|endoftext|>", | |
0, | |
] | |
}) | |
}); | |
const data = await data.json(); | |
#gradioblocks interface template | |
gradio as gr | |
def greet(name): | |
return "Hello " + name | |
# We instantiate the Textbox class | |
textbox = gr.Textbox(label="Type your name here:", placeholder="John Doe", lines=2) | |
gr.Interface(fn=greet, inputs=textbox, outputs="text").launch() | |