Instructions to use deepesh0x/autotrain-GlueModels-1010733562 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepesh0x/autotrain-GlueModels-1010733562 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="deepesh0x/autotrain-GlueModels-1010733562")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("deepesh0x/autotrain-GlueModels-1010733562") model = AutoModelForSequenceClassification.from_pretrained("deepesh0x/autotrain-GlueModels-1010733562") - Notebooks
- Google Colab
- Kaggle
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Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 1010733562
- CO2 Emissions (in grams): 60.24263131580023
Validation Metrics
- Loss: 0.1812974065542221
- Accuracy: 0.9252564102564103
- Precision: 0.9409888357256778
- Recall: 0.9074596257369905
- AUC: 0.9809618001947271
- F1: 0.923920135717082
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/deepesh0x/autotrain-GlueModels-1010733562
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("deepesh0x/autotrain-GlueModels-1010733562", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("deepesh0x/autotrain-GlueModels-1010733562", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
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