Instructions to use rithwik-db/finetuning-sentiment-model-300-gpu-13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rithwik-db/finetuning-sentiment-model-300-gpu-13 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rithwik-db/finetuning-sentiment-model-300-gpu-13")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rithwik-db/finetuning-sentiment-model-300-gpu-13") model = AutoModelForSequenceClassification.from_pretrained("rithwik-db/finetuning-sentiment-model-300-gpu-13") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bbd3d156cb223ece9ab096d0e353909211ccee0fa33d6c89de44b3eebcc557f5
- Size of remote file:
- 268 MB
- SHA256:
- 48fabc55c8d5629912599abc0df7b5d91186063e3e0772a2745f11b709ecaa37
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