Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use DaisyQue/finetuning-sentiment-model-tweet-finalVersion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DaisyQue/finetuning-sentiment-model-tweet-finalVersion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DaisyQue/finetuning-sentiment-model-tweet-finalVersion")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DaisyQue/finetuning-sentiment-model-tweet-finalVersion") model = AutoModelForSequenceClassification.from_pretrained("DaisyQue/finetuning-sentiment-model-tweet-finalVersion", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ecf92524f5677ae623475c7ae1554094b75a202788ff139149f9ee79edfb0d8
- Size of remote file:
- 5.37 kB
- SHA256:
- 7bbdeb76bd12e6fd4adc4ced17820a88ef38aa94bfd309cc33d2938941b9ac30
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