Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use gsl22/sentiment-analysis-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gsl22/sentiment-analysis-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gsl22/sentiment-analysis-v1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gsl22/sentiment-analysis-v1") model = AutoModelForSequenceClassification.from_pretrained("gsl22/sentiment-analysis-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#2)
- Adding `safetensors` variant of this model (94c8c2db40bee252a54f0ab354cea9d0d2a50fc5) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>c90903c -
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update model card README.md
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