Instructions to use zeonai/query_embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zeonai/query_embedding with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="zeonai/query_embedding")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("zeonai/query_embedding") model = AutoModelForMaskedLM.from_pretrained("zeonai/query_embedding") - Notebooks
- Google Colab
- Kaggle
{'error': 'Model zeonai/query_embedding does not exist'}
#1
by Biswa - opened
I have created a private model and its under an organisation. I have pinned the model too,
When I am running following code
import requests
API_URL = "https://api-inference.huggingface.co/models/zeonai/query_embedding"
headers = {"Authorization": "Bearer xxxxxxxxxxxxx"}
def query(payload):
response = requests.post(API_URL, headers=headers, json=payload)
return response.json()
output = query({
"inputs": "Today is a sunny day and I'll get some ice cream.",
})
I am getting the following error:
{'error': 'Model zeonai/query_embedding does not exist'}
Although the model actually exists and its a private model.