Text Classification
Transformers
PyTorch
Safetensors
Italian
bert
Trained with AutoTrain
text-embeddings-inference
Instructions to use francescofact/autonlp-bank-transaction-classification-5521155 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use francescofact/autonlp-bank-transaction-classification-5521155 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="francescofact/autonlp-bank-transaction-classification-5521155")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("francescofact/autonlp-bank-transaction-classification-5521155") model = AutoModelForSequenceClassification.from_pretrained("francescofact/autonlp-bank-transaction-classification-5521155", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoNLP
- Problem type: Multi-class Classification
- Model ID: 5521155
Validation Metrics
- Loss: 1.3173143863677979
- Accuracy: 0.8220706757594545
- Macro F1: 0.5713688384455807
- Micro F1: 0.8220706757594544
- Weighted F1: 0.8217158913702755
- Macro Precision: 0.6064387992817253
- Micro Precision: 0.8220706757594545
- Weighted Precision: 0.8491515834140735
- Macro Recall: 0.5873349311175117
- Micro Recall: 0.8220706757594545
- Weighted Recall: 0.8220706757594545
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 AutoNLP"}' https://huggingface.co/proxy/api-inference.huggingface.co/models/mgrella/autonlp-bank-transaction-classification-5521155
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("mgrella/autonlp-bank-transaction-classification-5521155", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("mgrella/autonlp-bank-transaction-classification-5521155", use_auth_token=True)
inputs = tokenizer("I love AutoNLP", return_tensors="pt")
outputs = model(**inputs)
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