Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use DaisyQue/finetuning-sentiment-model-youtube-samples with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DaisyQue/finetuning-sentiment-model-youtube-samples with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DaisyQue/finetuning-sentiment-model-youtube-samples")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DaisyQue/finetuning-sentiment-model-youtube-samples") model = AutoModelForSequenceClassification.from_pretrained("DaisyQue/finetuning-sentiment-model-youtube-samples", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ff525cc58751c09dd5c6f23ca2f90b53cf218f49885445e90d460dba920a8b63
- Size of remote file:
- 5.3 kB
- SHA256:
- 461fc517f5d47672b04ec8601000a0e8d0236bdee67e0fd54697d19258538b75
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