Text Classification
Transformers
TensorBoard
Safetensors
Turkish
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Accelera/finetuning_sentiment_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Accelera/finetuning_sentiment_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Accelera/finetuning_sentiment_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Accelera/finetuning_sentiment_model") model = AutoModelForSequenceClassification.from_pretrained("Accelera/finetuning_sentiment_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb4390b56f05e4303ee3ef75764c5345ae2db82b782970b75dc9945260b0acb5
- Size of remote file:
- 442 MB
- SHA256:
- 3f07fa17ff3431f8910b667596433cbb64ed1590894d61bacd64aa23859513cf
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