Instructions to use deepaksiloka/autotrain-name_classification_3-1686659457 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepaksiloka/autotrain-name_classification_3-1686659457 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="deepaksiloka/autotrain-name_classification_3-1686659457")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("deepaksiloka/autotrain-name_classification_3-1686659457", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Configuration Parsing Warning:Config file config.json cannot be fetched (too big)
Configuration Parsing Warning:Config file tokenizer_config.json cannot be fetched (too big)
Model Trained Using AutoTrain
- Problem type: Entity Extraction
- Model ID: 1686659457
- CO2 Emissions (in grams): 1.0820
Validation Metrics
- Loss: 0.087
- Accuracy: 0.978
- Precision: 0.979
- Recall: 0.987
- F1: 0.983
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"}' /static-proxy?url=https%3A%2F%2Fapi-inference.huggingface.co%2Fmodels%2Fdeepaksiloka%2Fautotrain-name_classification_3-1686659457
Or Python API:
from transformers import AutoModelForTokenClassification, AutoTokenizer
model = AutoModelForTokenClassification.from_pretrained("deepaksiloka/autotrain-name_classification_3-1686659457", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("deepaksiloka/autotrain-name_classification_3-1686659457", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
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