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ell-phraseology
archipela/ell-phraseology
ell-phraseology is a machine learning model from archipela. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
- Problem type: Single Column Regression - Model ID: 2217871115 - CO2 Emissions (in grams): 3.8479
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Repo size
660 MB
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At a glance
- Library
- transformers
- Access
- Public
- Created
- Nov 23, 2022
- Updated
- Nov 23, 2022
- SHA
- c48e8781
Try a prompt
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Single Column Regression
- Model ID: 2217871115
- CO2 Emissions (in grams): 3.8479
Validation Metrics
- Loss: 0.254
- MSE: 0.254
- MAE: 0.393
- R2: 0.413
- RMSE: 0.504
- Explained Variance: 0.414
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/huynhdoo/autotrain-ell-phraseology-2217871115
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("huynhdoo/autotrain-ell-phraseology-2217871115", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("huynhdoo/autotrain-ell-phraseology-2217871115", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Library
- transformers
- Languages
- unk
- Created
- Nov 23, 2022
- Updated
- Nov 23, 2022