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SH-W/6emotions
6emotions is a text classification model from SH-W. Use it when you need a label for a piece of text. It is set up for transformers.
- Problem type: Multi-class Classification - Model ID: 77017140438 - CO2 Emissions (in grams): 1.7724
Downloads · 30 days
8
2% of all-time downloads
All-time downloads
437
Public
Parameters
344M
2.8 GB on disk
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.bin1.4 GB · 50%
How the weights are stored.
F32344M · 100%
From the Hugging Face model README
You can use cURL to access this model:
$ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoTrain"}' https://api-inference.huggingface.co/models/SH-W/autotrain-koichi-77017140438
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("SH-W/autotrain-koichi-77017140438", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("SH-W/autotrain-koichi-77017140438", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)