Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use DaisyQue/finetuning-sentiment-model-distil-finalVersion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DaisyQue/finetuning-sentiment-model-distil-finalVersion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DaisyQue/finetuning-sentiment-model-distil-finalVersion")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DaisyQue/finetuning-sentiment-model-distil-finalVersion") model = AutoModelForSequenceClassification.from_pretrained("DaisyQue/finetuning-sentiment-model-distil-finalVersion", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c0d1afb259079c39e0ee00174663db76c3ab0056052d3c009f28b8e41584cd7b
- Size of remote file:
- 5.37 kB
- SHA256:
- 6c8b5a45bbfc4532f65730ffee6534e252abf192f47c1dde51e488b712d75669
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