Text Classification
Transformers
PyTorch
English
NER
Named-Enity-Recognition
roberta
token-classification
document-understanding
resume-parsing
cv-parsing
custom-ner
sliding-window-inference
huggingface
spaCy
pdf-extraction
docx-extraction
information-extraction
text-mining
job-application-automation
structured-data-extraction
Instructions to use venkatasagar/NER-roBERTa-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use venkatasagar/NER-roBERTa-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="venkatasagar/NER-roBERTa-finetuned")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("venkatasagar/NER-roBERTa-finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K