Text Classification
Transformers
ONNX
Safetensors
Transformers.js
English
distilbert
finance
transactions
text-embeddings-inference
Instructions to use DoDataThings/distilbert-us-transaction-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DoDataThings/distilbert-us-transaction-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DoDataThings/distilbert-us-transaction-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DoDataThings/distilbert-us-transaction-classifier") model = AutoModelForSequenceClassification.from_pretrained("DoDataThings/distilbert-us-transaction-classifier", device_map="auto") - Transformers.js
How to use DoDataThings/distilbert-us-transaction-classifier with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-classification', 'DoDataThings/distilbert-us-transaction-classifier'); - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0d4b57aaee394f113768a3791015e4a293ce2a702b3687b6b94516a29fd35a99
- Size of remote file:
- 268 MB
- SHA256:
- c09587c7ed91cd59dfeb05fce16127de5d3f78eaade35f6ec68c513d2a4f15f8
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