Instructions to use rithwik-db/finetuning-sentiment-model-300-gpu-12 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-12 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-12")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rithwik-db/finetuning-sentiment-model-300-gpu-12") model = AutoModelForSequenceClassification.from_pretrained("rithwik-db/finetuning-sentiment-model-300-gpu-12") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2b6b5bde159341d8be3874ed97d9e6712b11eab685ad6fc4e0201beb045f74ed
- Size of remote file:
- 268 MB
- SHA256:
- be70c2bd9e505a14b2f0c418b49308e2db2acfcd23d63d31754bec84b2351afe
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