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:
- 2ec2a7b27e9a243f48bf105131c30cdf7b5e0442f2069b8223532291aca6654b
- Size of remote file:
- 3.58 kB
- SHA256:
- 4763de9529824f32eed20fb91fa874ad79035323279542e0cf6003551e7aed37
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