Text Classification
Transformers
Safetensors
English
Italian
Spanish
deberta-v2
sentiment-analysis
text-embeddings-inference
Instructions to use VinMir/GordonAI-sentiment_analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VinMir/GordonAI-sentiment_analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="VinMir/GordonAI-sentiment_analysis")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("VinMir/GordonAI-sentiment_analysis") model = AutoModelForSequenceClassification.from_pretrained("VinMir/GordonAI-sentiment_analysis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| recursive-include GordonAI/models/sentiment * | |
| recursive-include GordonAI/models/emotion * | |
| recursive-include GordonAI/models/factchecker * | |
| include README.md | |
| include LICENSE |