Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use gsl22/finetuning-sentiment-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gsl22/finetuning-sentiment-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gsl22/finetuning-sentiment-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gsl22/finetuning-sentiment-model") model = AutoModelForSequenceClassification.from_pretrained("gsl22/finetuning-sentiment-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (65b82a7922aa6f9d42db7d5f36441c2050240e99) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>b895bb0
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update model card README.md
20138d7 -
End of training
1e84111 -
Training in progress, epoch 2
7281ce9 -
Training in progress, epoch 1
986ae34 -
initial commit
1d10ad3