Text Classification
Transformers
Safetensors
distilbert
sentiment-analysis
bert
goemotions
nlp
text-embeddings-inference
Instructions to use Krish623/sentiment-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Krish623/sentiment-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Krish623/sentiment-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Krish623/sentiment-model") model = AutoModelForSequenceClassification.from_pretrained("Krish623/sentiment-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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### Model Sources
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- **Repository:** https://github.com/krishagrawal623/bert-model.git
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- **Dataset:** GoEmotions (Google Research)
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### Model Sources
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- **Repository:** https://github.com/krishagrawal623/bert-goemotions-sentiment-model.git
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- **Dataset:** GoEmotions (Google Research)
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