YAML Metadata
Warning:
The pipeline tag "regression" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, text2text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, other
Model Trained Using AutoTrain
- Problem type: Single Column Regression
- Model ID: 1966366051
- CO2 Emissions (in grams): 0.8382
Validation Metrics
- Loss: 4927.679
- MSE: 4927.679
- MAE: 68.224
- R2: -17.019
- RMSE: 70.197
- Explained Variance: 0.001
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/orange6996/autotrain-testtextexists-1966366051
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("orange6996/autotrain-testtextexists-1966366051", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("orange6996/autotrain-testtextexists-1966366051", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
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