Text Classification
Transformers
Safetensors
multilingual
xlm-roberta
document-ai
ocr
cross-page
table
text-embeddings-inference
Instructions to use lemoncoda/bertforocr-continuity-ep5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lemoncoda/bertforocr-continuity-ep5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lemoncoda/bertforocr-continuity-ep5")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lemoncoda/bertforocr-continuity-ep5") model = AutoModelForSequenceClassification.from_pretrained("lemoncoda/bertforocr-continuity-ep5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 5, | |
| "train_loss": 0.16472578944562447, | |
| "acc": 0.8937655860349127, | |
| "precision": 0.8782249742002064, | |
| "recall": 0.8995771670190275, | |
| "f1": 0.8887728459530025, | |
| "tp": 851.0, | |
| "fp": 118.0, | |
| "tn": 941.0, | |
| "fn": 95.0 | |
| } |