Text Classification
Transformers
Safetensors
English
roberta
emotion-classification
goemotions
sentiment-analysis
text-embeddings-inference
Instructions to use VanshajR/roberta-emotion-7class with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VanshajR/roberta-emotion-7class with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="VanshajR/roberta-emotion-7class")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("VanshajR/roberta-emotion-7class") model = AutoModelForSequenceClassification.from_pretrained("VanshajR/roberta-emotion-7class", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from VanshajR/roberta-emotion-7class: direct link, hf CLI and curl.
- Browser
- Download file 3.56 MB
-
https://huggingface.co/VanshajR/roberta-emotion-7class/resolve/main/tokenizer.json
- Command line
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hf download hf://VanshajR/roberta-emotion-7class/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/VanshajR/roberta-emotion-7class/resolve/main/tokenizer.json
3.56 MB
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