Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use LogischeIP/SentimentT2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LogischeIP/SentimentT2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LogischeIP/SentimentT2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LogischeIP/SentimentT2") model = AutoModelForSequenceClassification.from_pretrained("LogischeIP/SentimentT2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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- Jan10_15-12-03_032b48ce4f7d
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- Jan10_16-19-51_032b48ce4f7d
- Jan10_16-20-41_032b48ce4f7d
- Jan10_16-21-23_032b48ce4f7d