Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use pabagcha/finetuning-sentiment-model-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pabagcha/finetuning-sentiment-model-3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pabagcha/finetuning-sentiment-model-3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pabagcha/finetuning-sentiment-model-3") model = AutoModelForSequenceClassification.from_pretrained("pabagcha/finetuning-sentiment-model-3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3fdcf2e0c695a58fa9b23c0ec9dcd78ec0f0fdfa41e6f636402ae1e9e9c2b963
- Size of remote file:
- 3.58 kB
- SHA256:
- 9de86ce2de9ffd7074ccbb46b24f2554a09a811d649f8825c466befb9dfc73c2
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