Text Classification
Transformers
PyTorch
TensorBoard
English
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use racro/sentiment-analysis-browser-extension with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use racro/sentiment-analysis-browser-extension with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="racro/sentiment-analysis-browser-extension")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("racro/sentiment-analysis-browser-extension") model = AutoModelForSequenceClassification.from_pretrained("racro/sentiment-analysis-browser-extension") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 6
Browse files
pytorch_model.bin
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runs/Feb05_20-00-15_c1d8ae801091/events.out.tfevents.1675627256.c1d8ae801091.15816.12
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