Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use namesarnav/e-care-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use namesarnav/e-care-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="namesarnav/e-care-roberta-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("namesarnav/e-care-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("namesarnav/e-care-roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Fix broken base model link and placeholder text
#1
by BananaMindBot - opened
The base model link points to a non-existent repository 'roberta-base' instead of 'roberta/roberta-base'. Additionally, the 'Model description', 'Intended uses & limitations', and 'Training and evaluation data' sections contain placeholder text ('More information needed') which should be removed or replaced with a note that details are pending, as they are currently misleading. I have corrected the link and cleaned up the placeholders.
Opened automatically by BananaMindBot. Close it if it is not useful - no hard feelings.