Text Classification
Transformers
PyTorch
Spanish
bert
Trained with AutoTrain
text-embeddings-inference
Instructions to use milyiyo/autotrain-iptc-classification-v4-42015107919 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use milyiyo/autotrain-iptc-classification-v4-42015107919 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="milyiyo/autotrain-iptc-classification-v4-42015107919")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("milyiyo/autotrain-iptc-classification-v4-42015107919") model = AutoModelForSequenceClassification.from_pretrained("milyiyo/autotrain-iptc-classification-v4-42015107919", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 42015107919
- CO2 Emissions (in grams): 0.8455
Validation Metrics
- Loss: 1.231
- Accuracy: 0.758
- Macro F1: 0.531
- Micro F1: 0.758
- Weighted F1: 0.708
- Macro Precision: 0.532
- Micro Precision: 0.758
- Weighted Precision: 0.685
- Macro Recall: 0.553
- Micro Recall: 0.758
- Weighted Recall: 0.758
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/milyiyo/autotrain-iptc-classification-v4-42015107919
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("milyiyo/autotrain-iptc-classification-v4-42015107919", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("milyiyo/autotrain-iptc-classification-v4-42015107919", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
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