Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use DaisyQue/finetuning-sentiment-model-distil-samples with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DaisyQue/finetuning-sentiment-model-distil-samples with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DaisyQue/finetuning-sentiment-model-distil-samples")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DaisyQue/finetuning-sentiment-model-distil-samples") model = AutoModelForSequenceClassification.from_pretrained("DaisyQue/finetuning-sentiment-model-distil-samples", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 400df662534805f6a0e6420d7f219765bfaa221c15a9ac6c502f2b35e810abb2
- Size of remote file:
- 5.3 kB
- SHA256:
- 36498a6508afeb9200817233eaee9cef5a3dc2841e08b887510bcea7b01e208a
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