Text Classification
Transformers
Safetensors
English
roberta
coping
emotions
microaggressions
text-embeddings-inference
Instructions to use coping-emotions/roberta-coping-replies with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use coping-emotions/roberta-coping-replies with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="coping-emotions/roberta-coping-replies")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("coping-emotions/roberta-coping-replies") model = AutoModelForSequenceClassification.from_pretrained("coping-emotions/roberta-coping-replies", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signature5466b1a
-
Update README.md
Verified signature58095ec
-
Upload RobertaForSequenceClassification
Verified signature0e01310 -
Upload 3 files
Verified signature46677d5 -
Upload RobertaForSequenceClassification
Verified signaturef044793 -
Upload RobertaForSequenceClassification
Verified signature2fdd5e4 -
initial commit
Verified signaturedea1612