Downloads · 30 days
12
2% of all-time downloads
autotrain-financial-sentiment-765323474
ktangri/autotrain-financial-sentiment-765323474
autotrain-financial-sentiment-765323474 is a text classification model from ktangri. 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: 765323474 - CO2 Emissions (in grams): 0.007501354635994803
All-time downloads
724
Public
Repo size
867 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin433 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Apr 20, 2022
- Updated
- Apr 20, 2022
- SHA
- c335af66
Try a prompt
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 765323474
- CO2 Emissions (in grams): 0.007501354635994803
Validation Metrics
- Loss: 0.0447433702647686
- Accuracy: 0.9823788546255506
- Macro F1: 0.974405452470854
- Micro F1: 0.9823788546255506
- Weighted F1: 0.9823043153179869
- Macro Precision: 0.978208375548801
- Micro Precision: 0.9823788546255506
- Weighted Precision: 0.9823204968555985
- Macro Recall: 0.9707159078140736
- Micro Recall: 0.9823788546255506
- Weighted Recall: 0.9823788546255506
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/ktangri/autotrain-financial-sentiment-765323474
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("ktangri/autotrain-financial-sentiment-765323474", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("ktangri/autotrain-financial-sentiment-765323474", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Languages
- en
- Created
- Apr 20, 2022
- Updated
- Apr 20, 2022