Instructions to use rithwik-db/finetuning-sentiment-model-300-gpu-9 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-9 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-9")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rithwik-db/finetuning-sentiment-model-300-gpu-9") model = AutoModelForSequenceClassification.from_pretrained("rithwik-db/finetuning-sentiment-model-300-gpu-9") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 57b2c7cf1f5397c59fa2036edde9217776ccf68eb6df018d2b8d96a313824a57
- Size of remote file:
- 3.58 kB
- SHA256:
- cd139e72b0ab3ebffe4833f6b85106f1e210ce2b3cd92d90326dad2ba9bbd760
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