Downloads · 30 days
5
2% of all-time downloads
autotrain-hhmpredictivev3-65823136265
MarketingHHM/autotrain-hhmpredictivev3-65823136265
autotrain-hhmpredictivev3-65823136265 is a text classification model from MarketingHHM. 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: 65823136265 - CO2 Emissions (in grams): 0.6053
All-time downloads
321
Public
Parameters
67M
536 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin268 MB · 50%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- distilbert
- Access
- Public
- Created
- Jun 11, 2023
- Updated
- Jun 11, 2023
- SHA
- e1a43d58
Try a prompt
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 65823136265
- CO2 Emissions (in grams): 0.6053
Validation Metrics
- Loss: 1.533
- Accuracy: 0.304
- Macro F1: 0.234
- Micro F1: 0.304
- Weighted F1: 0.234
- Macro Precision: 0.209
- Micro Precision: 0.304
- Weighted Precision: 0.209
- Macro Recall: 0.304
- Micro Recall: 0.304
- Weighted Recall: 0.304
Usage
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/MarketingHHM/autotrain-hhmpredictivev3-65823136265
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("MarketingHHM/autotrain-hhmpredictivev3-65823136265", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("MarketingHHM/autotrain-hhmpredictivev3-65823136265", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- Languages
- en
- Created
- Jun 11, 2023
- Updated
- Jun 11, 2023