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
Adding `safetensors` variant of this model
#3
by SFconvertbot - opened
- model.safetensors +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:b4ee0a781a24f01ef0ffdc6f0a873251f4ca38428f1117a63e620e18a799ceb4
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size 267832560
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