Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use pabagcha/finetuning-sentiment-model-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pabagcha/finetuning-sentiment-model-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pabagcha/finetuning-sentiment-model-2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pabagcha/finetuning-sentiment-model-2") model = AutoModelForSequenceClassification.from_pretrained("pabagcha/finetuning-sentiment-model-2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 506efb42336d726f645a1e45cdf91fc0e9ff088527b814de20f787f936db680e
- Size of remote file:
- 1.42 GB
- SHA256:
- ddcc84adc635f734126c3c2f78e953443010f8922fe4ae230c33b167495ac27f
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